This notebook is a template with each step that you need to complete for the project.
Please fill in your code where there are explicit ? markers in the notebook. You are welcome to add more cells and code as you see fit.
Once you have completed all the code implementations, please export your notebook as a HTML file so the reviews can view your code. Make sure you have all outputs correctly outputted.
File-> Export Notebook As... -> Export Notebook as HTML
There is a writeup to complete as well after all code implememtation is done. Please answer all questions and attach the necessary tables and charts. You can complete the writeup in either markdown or PDF.
Completing the code template and writeup template will cover all of the rubric points for this project.
The rubric contains "Stand Out Suggestions" for enhancing the project beyond the minimum requirements. The stand out suggestions are optional. If you decide to pursue the "stand out suggestions", you can include the code in this notebook and also discuss the results in the writeup file.
Below is example of steps to get the API username and key. Each student will have their own username and key.
kaggle.json and use the username and key.
ml.t3.medium instance (2 vCPU + 4 GiB)Python 3 (MXNet 1.8 Python 3.7 CPU Optimized)!pip install -U pip
!pip install -U setuptools wheel
!pip install -U "mxnet<2.0.0" bokeh==2.0.1
!pip install autogluon --no-cache-dir
# Without --no-cache-dir, smaller aws instances may have trouble installing
Requirement already satisfied: pip in c:\users\hp\anaconda3\envs\aws deep learning\lib\site-packages (21.1.3)
Collecting pip
Downloading pip-21.3.1-py3-none-any.whl (1.7 MB)
Installing collected packages: pip
Attempting uninstall: pip
Found existing installation: pip 21.1.3
Uninstalling pip-21.1.3:
Successfully uninstalled pip-21.1.3
ERROR: Could not install packages due to an OSError: [WinError 5] Access is denied: 'C:\\Users\\Public\\Documents\\Wondershare\\CreatorTemp\\pip-uninstall-3dcgrmz4\\pip.exe' Consider using the `--user` option or check the permissions.
Requirement already satisfied: setuptools in c:\users\hp\anaconda3\envs\aws deep learning\lib\site-packages (52.0.0.post20210125)
Collecting setuptools
Downloading setuptools-59.4.0-py3-none-any.whl (952 kB)
Requirement already satisfied: wheel in c:\users\hp\anaconda3\envs\aws deep learning\lib\site-packages (0.36.2)
Collecting wheel
Using cached wheel-0.37.0-py2.py3-none-any.whl (35 kB)
Installing collected packages: wheel, setuptools
Attempting uninstall: wheel
Found existing installation: wheel 0.36.2
Uninstalling wheel-0.36.2:
Successfully uninstalled wheel-0.36.2
Attempting uninstall: setuptools
Found existing installation: setuptools 52.0.0.post20210125
Uninstalling setuptools-52.0.0.post20210125:
Successfully uninstalled setuptools-52.0.0.post20210125
Successfully installed setuptools-59.4.0 wheel-0.37.0
# create the .kaggle directory and an empty kaggle.json file
!mkdir -p /root/.kaggle
!touch /root/.kaggle/kaggle.json
!chmod 600 /root/.kaggle/kaggle.json
# Fill in your user name and key from creating the kaggle account and API token file
import json
kaggle_username = "FILL_IN_USERNAME"
kaggle_key = "FILL_IN_KEY"
# Save API token the kaggle.json file
with open("/root/.kaggle/kaggle.json", "w") as f:
f.write(json.dumps({"username": kaggle_username, "key": kaggle_key}))
# Download the dataset, it will be in a .zip file so you'll need to unzip it as well.
!kaggle competitions download -c bike-sharing-demand
# If you already downloaded it you can use the -o command to overwrite the file
!unzip -o bike-sharing-demand.zip
import pandas as pd
from autogluon.tabular import TabularPredictor
# Create the train dataset in pandas by reading the csv
# Set the parsing of the datetime column so you can use some of the `dt` features in pandas later
train = pd.read_csv('train.csv')
train.head()
| datetime | season | holiday | workingday | weather | temp | atemp | humidity | windspeed | casual | registered | count | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 2011-01-01 00:00:00 | 1 | 0 | 0 | 1 | 9.84 | 14.395 | 81 | 0.0 | 3 | 13 | 16 |
| 1 | 2011-01-01 01:00:00 | 1 | 0 | 0 | 1 | 9.02 | 13.635 | 80 | 0.0 | 8 | 32 | 40 |
| 2 | 2011-01-01 02:00:00 | 1 | 0 | 0 | 1 | 9.02 | 13.635 | 80 | 0.0 | 5 | 27 | 32 |
| 3 | 2011-01-01 03:00:00 | 1 | 0 | 0 | 1 | 9.84 | 14.395 | 75 | 0.0 | 3 | 10 | 13 |
| 4 | 2011-01-01 04:00:00 | 1 | 0 | 0 | 1 | 9.84 | 14.395 | 75 | 0.0 | 0 | 1 | 1 |
# Simple output of the train dataset to view some of the min/max/varition of the dataset features.
train.describe()
| season | holiday | workingday | weather | temp | atemp | humidity | windspeed | casual | registered | count | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| count | 10886.000000 | 10886.000000 | 10886.000000 | 10886.000000 | 10886.00000 | 10886.000000 | 10886.000000 | 10886.000000 | 10886.000000 | 10886.000000 | 10886.000000 |
| mean | 2.506614 | 0.028569 | 0.680875 | 1.418427 | 20.23086 | 23.655084 | 61.886460 | 12.799395 | 36.021955 | 155.552177 | 191.574132 |
| std | 1.116174 | 0.166599 | 0.466159 | 0.633839 | 7.79159 | 8.474601 | 19.245033 | 8.164537 | 49.960477 | 151.039033 | 181.144454 |
| min | 1.000000 | 0.000000 | 0.000000 | 1.000000 | 0.82000 | 0.760000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 1.000000 |
| 25% | 2.000000 | 0.000000 | 0.000000 | 1.000000 | 13.94000 | 16.665000 | 47.000000 | 7.001500 | 4.000000 | 36.000000 | 42.000000 |
| 50% | 3.000000 | 0.000000 | 1.000000 | 1.000000 | 20.50000 | 24.240000 | 62.000000 | 12.998000 | 17.000000 | 118.000000 | 145.000000 |
| 75% | 4.000000 | 0.000000 | 1.000000 | 2.000000 | 26.24000 | 31.060000 | 77.000000 | 16.997900 | 49.000000 | 222.000000 | 284.000000 |
| max | 4.000000 | 1.000000 | 1.000000 | 4.000000 | 41.00000 | 45.455000 | 100.000000 | 56.996900 | 367.000000 | 886.000000 | 977.000000 |
# Create the test pandas dataframe in pandas by reading the csv, remember to parse the datetime!
test = pd.read_csv('test.csv')
test.head()
| datetime | season | holiday | workingday | weather | temp | atemp | humidity | windspeed | |
|---|---|---|---|---|---|---|---|---|---|
| 0 | 2011-01-20 00:00:00 | 1 | 0 | 1 | 1 | 10.66 | 11.365 | 56 | 26.0027 |
| 1 | 2011-01-20 01:00:00 | 1 | 0 | 1 | 1 | 10.66 | 13.635 | 56 | 0.0000 |
| 2 | 2011-01-20 02:00:00 | 1 | 0 | 1 | 1 | 10.66 | 13.635 | 56 | 0.0000 |
| 3 | 2011-01-20 03:00:00 | 1 | 0 | 1 | 1 | 10.66 | 12.880 | 56 | 11.0014 |
| 4 | 2011-01-20 04:00:00 | 1 | 0 | 1 | 1 | 10.66 | 12.880 | 56 | 11.0014 |
# Same thing as train and test dataset
submission = pd.read_csv('sampleSubmission.csv')
submission.head()
| datetime | count | |
|---|---|---|
| 0 | 2011-01-20 00:00:00 | 0 |
| 1 | 2011-01-20 01:00:00 | 0 |
| 2 | 2011-01-20 02:00:00 | 0 |
| 3 | 2011-01-20 03:00:00 | 0 |
| 4 | 2011-01-20 04:00:00 | 0 |
Requirements:
count, so it is the label we are setting.casual and registered columns as they are also not present in the test dataset. root_mean_squared_error as the metric to use for evaluation.best_quality to focus on creating the best model.#Drop the non-used columns and train the first model
df = train.drop(columns=['casual', 'registered'])
predictor = TabularPredictor(label="count",eval_metric='root_mean_squared_error').fit(
train_data=df,
time_limit=60,
presets="best_quality",
)
No path specified. Models will be saved in: "AutogluonModels/ag-20211211_105451\"
Presets specified: ['best_quality']
Beginning AutoGluon training ... Time limit = 60s
AutoGluon will save models to "AutogluonModels/ag-20211211_105451\"
AutoGluon Version: 0.3.1
Train Data Rows: 10886
Train Data Columns: 9
Preprocessing data ...
AutoGluon infers your prediction problem is: 'regression' (because dtype of label-column == int and many unique label-values observed).
Label info (max, min, mean, stddev): (977, 1, 191.57413, 181.14445)
If 'regression' is not the correct problem_type, please manually specify the problem_type argument in fit() (You may specify problem_type as one of: ['binary', 'multiclass', 'regression'])
Using Feature Generators to preprocess the data ...
Fitting AutoMLPipelineFeatureGenerator...
Available Memory: 3251.59 MB
Train Data (Original) Memory Usage: 1.52 MB (0.0% of available memory)
Inferring data type of each feature based on column values. Set feature_metadata_in to manually specify special dtypes of the features.
Stage 1 Generators:
Fitting AsTypeFeatureGenerator...
Note: Converting 2 features to boolean dtype as they only contain 2 unique values.
Stage 2 Generators:
Fitting FillNaFeatureGenerator...
Stage 3 Generators:
Fitting IdentityFeatureGenerator...
Fitting DatetimeFeatureGenerator...
Stage 4 Generators:
Fitting DropUniqueFeatureGenerator...
Types of features in original data (raw dtype, special dtypes):
('float', []) : 3 | ['temp', 'atemp', 'windspeed']
('int', []) : 5 | ['season', 'holiday', 'workingday', 'weather', 'humidity']
('object', ['datetime_as_object']) : 1 | ['datetime']
Types of features in processed data (raw dtype, special dtypes):
('float', []) : 3 | ['temp', 'atemp', 'windspeed']
('int', []) : 3 | ['season', 'weather', 'humidity']
('int', ['bool']) : 2 | ['holiday', 'workingday']
('int', ['datetime_as_int']) : 1 | ['datetime']
0.1s = Fit runtime
9 features in original data used to generate 9 features in processed data.
Train Data (Processed) Memory Usage: 0.63 MB (0.0% of available memory)
Data preprocessing and feature engineering runtime = 0.12s ...
AutoGluon will gauge predictive performance using evaluation metric: 'root_mean_squared_error'
To change this, specify the eval_metric argument of fit()
AutoGluon will fit 2 stack levels (L1 to L2) ...
Fitting 11 L1 models ...
Fitting model: KNeighborsUnif_BAG_L1 ... Training model for up to 39.91s of the 59.87s of remaining time.
-160.4131 = Validation score (root_mean_squared_error)
0.05s = Training runtime
0.11s = Validation runtime
Fitting model: KNeighborsDist_BAG_L1 ... Training model for up to 39.61s of the 59.57s of remaining time.
-169.5521 = Validation score (root_mean_squared_error)
0.04s = Training runtime
0.11s = Validation runtime
Fitting model: LightGBMXT_BAG_L1 ... Training model for up to 39.33s of the 59.29s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000] train_set's rmse: 123.806 valid_set's rmse: 134.369 [2000] train_set's rmse: 117.412 valid_set's rmse: 133.705
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000] train_set's rmse: 123.42 valid_set's rmse: 141.5
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000] train_set's rmse: 125.097 valid_set's rmse: 128.797 [2000] train_set's rmse: 119.003 valid_set's rmse: 127.909 [3000] train_set's rmse: 114.63 valid_set's rmse: 127.431 [4000] train_set's rmse: 111.295 valid_set's rmse: 126.943 [5000] train_set's rmse: 108.576 valid_set's rmse: 126.844
Ran out of time, early stopping on iteration 5236. Best iteration is:
[4548] train_set's rmse: 109.8 valid_set's rmse: 126.745
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000] train_set's rmse: 124.131 valid_set's rmse: 138.303 [2000] train_set's rmse: 117.833 valid_set's rmse: 137.535
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000] train_set's rmse: 124.871 valid_set's rmse: 128.052 [2000] train_set's rmse: 118.547 valid_set's rmse: 127.003 [3000] train_set's rmse: 114.124 valid_set's rmse: 126.834 [4000] train_set's rmse: 110.645 valid_set's rmse: 126.694
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000] train_set's rmse: 124.654 valid_set's rmse: 135.095 [2000] train_set's rmse: 118.764 valid_set's rmse: 133.849 [3000] train_set's rmse: 114.615 valid_set's rmse: 133.509 [4000] train_set's rmse: 111.249 valid_set's rmse: 133.472 [5000] train_set's rmse: 108.455 valid_set's rmse: 133.281
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000] train_set's rmse: 124.01 valid_set's rmse: 139.355 [2000] train_set's rmse: 117.819 valid_set's rmse: 138.312 [3000] train_set's rmse: 113.4 valid_set's rmse: 137.886 [4000] train_set's rmse: 110.032 valid_set's rmse: 137.758
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000] train_set's rmse: 124.47 valid_set's rmse: 135.412
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000] train_set's rmse: 124.18 valid_set's rmse: 137.579 [2000] train_set's rmse: 117.782 valid_set's rmse: 136.664 [3000] train_set's rmse: 113.447 valid_set's rmse: 136.246 [4000] train_set's rmse: 109.982 valid_set's rmse: 136.227
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000] train_set's rmse: 124.641 valid_set's rmse: 132.484
-134.1 = Validation score (root_mean_squared_error)
26.3s = Training runtime
1.8s = Validation runtime
Fitting model: LightGBM_BAG_L1 ... Training model for up to 8.73s of the 28.69s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
Ran out of time, early stopping on iteration 509. Best iteration is:
[507] train_set's rmse: 108.354 valid_set's rmse: 124.37
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
Ran out of time, early stopping on iteration 749. Best iteration is:
[749] train_set's rmse: 99.8164 valid_set's rmse: 135.743
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
Ran out of time, early stopping on iteration 254. Best iteration is:
[253] train_set's rmse: 117.521 valid_set's rmse: 127.045
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
Ran out of time, early stopping on iteration 259. Best iteration is:
[257] train_set's rmse: 116.95 valid_set's rmse: 134.66
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
Ran out of time, early stopping on iteration 279. Best iteration is:
[278] train_set's rmse: 115.451 valid_set's rmse: 137.913
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
Ran out of time, early stopping on iteration 373. Best iteration is:
[370] train_set's rmse: 112.037 valid_set's rmse: 133.094
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
Ran out of time, early stopping on iteration 165. Best iteration is:
[165] train_set's rmse: 121.505 valid_set's rmse: 138.27
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
Ran out of time, early stopping on iteration 46. Best iteration is:
[46] train_set's rmse: 134.225 valid_set's rmse: 136.262
-133.9571 = Validation score (root_mean_squared_error)
8.07s = Training runtime
0.18s = Validation runtime
Fitting model: RandomForestMSE_BAG_L1 ... Training model for up to 0.07s of the 20.03s of remaining time.
-118.4567 = Validation score (root_mean_squared_error)
4.04s = Training runtime
0.47s = Validation runtime
Completed 1/20 k-fold bagging repeats ...
Fitting model: WeightedEnsemble_L2 ... Training model for up to 59.88s of the 13.62s of remaining time.
-118.4567 = Validation score (root_mean_squared_error)
0.33s = Training runtime
0.0s = Validation runtime
Fitting 9 L2 models ...
Fitting model: LightGBMXT_BAG_L2 ... Training model for up to 13.29s of the 13.28s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
-117.6332 = Validation score (root_mean_squared_error)
5.3s = Training runtime
0.11s = Validation runtime
Fitting model: LightGBM_BAG_L2 ... Training model for up to 7.65s of the 7.64s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
-117.9319 = Validation score (root_mean_squared_error)
4.13s = Training runtime
0.05s = Validation runtime
Fitting model: RandomForestMSE_BAG_L2 ... Training model for up to 3.37s of the 3.36s of remaining time.
-120.8221 = Validation score (root_mean_squared_error)
8.57s = Training runtime
0.95s = Validation runtime
Completed 1/20 k-fold bagging repeats ...
Fitting model: WeightedEnsemble_L3 ... Training model for up to 59.88s of the -8.58s of remaining time.
-117.3183 = Validation score (root_mean_squared_error)
0.33s = Training runtime
0.0s = Validation runtime
AutoGluon training complete, total runtime = 68.94s ...
TabularPredictor saved. To load, use: predictor = TabularPredictor.load("AutogluonModels/ag-20211211_105451\")
#Show a summary of the Predictor
predictor.fit_summary()
*** Summary of fit() ***
Estimated performance of each model:
model score_val pred_time_val fit_time pred_time_val_marginal fit_time_marginal stack_level can_infer fit_order
0 WeightedEnsemble_L3 -116.525819 4.917321 46.685643 0.000999 0.215887 3 True 10
1 LightGBMXT_BAG_L2 -116.828497 4.429621 36.058200 0.171920 5.642719 2 True 7
2 LightGBM_BAG_L2 -117.254132 4.334635 34.243237 0.076935 3.827757 2 True 8
3 RandomForestMSE_BAG_L1 -118.456660 0.323833 2.730428 0.323833 2.730428 1 True 4
4 WeightedEnsemble_L2 -118.456660 0.324832 3.041250 0.000999 0.310822 2 True 6
5 RandomForestMSE_BAG_L2 -120.029292 4.667467 36.999279 0.409767 6.583799 2 True 9
6 ExtraTreesMSE_BAG_L1 -128.733445 0.323835 1.369210 0.323835 1.369210 1 True 5
7 LightGBMXT_BAG_L1 -134.088334 3.383063 26.210903 3.383063 26.210903 1 True 3
8 KNeighborsUnif_BAG_L1 -160.413078 0.112922 0.055968 0.112922 0.055968 1 True 1
9 KNeighborsDist_BAG_L1 -169.552096 0.114047 0.048972 0.114047 0.048972 1 True 2
Number of models trained: 10
Types of models trained:
{'StackerEnsembleModel_LGB', 'StackerEnsembleModel_XT', 'StackerEnsembleModel_RF', 'WeightedEnsembleModel', 'StackerEnsembleModel_KNN'}
Bagging used: True (with 10 folds)
Multi-layer stack-ensembling used: True (with 3 levels)
Feature Metadata (Processed):
(raw dtype, special dtypes):
('float', []) : 3 | ['temp', 'atemp', 'windspeed']
('int', []) : 3 | ['season', 'weather', 'humidity']
('int', ['bool']) : 2 | ['holiday', 'workingday']
('int', ['datetime_as_int']) : 1 | ['datetime']
Plot summary of models saved to file: AutogluonModels/ag-20211207_124116\SummaryOfModels.html
*** End of fit() summary ***
{'model_types': {'KNeighborsUnif_BAG_L1': 'StackerEnsembleModel_KNN',
'KNeighborsDist_BAG_L1': 'StackerEnsembleModel_KNN',
'LightGBMXT_BAG_L1': 'StackerEnsembleModel_LGB',
'RandomForestMSE_BAG_L1': 'StackerEnsembleModel_RF',
'ExtraTreesMSE_BAG_L1': 'StackerEnsembleModel_XT',
'WeightedEnsemble_L2': 'WeightedEnsembleModel',
'LightGBMXT_BAG_L2': 'StackerEnsembleModel_LGB',
'LightGBM_BAG_L2': 'StackerEnsembleModel_LGB',
'RandomForestMSE_BAG_L2': 'StackerEnsembleModel_RF',
'WeightedEnsemble_L3': 'WeightedEnsembleModel'},
'model_performance': {'KNeighborsUnif_BAG_L1': -160.4130779463501,
'KNeighborsDist_BAG_L1': -169.55209635208928,
'LightGBMXT_BAG_L1': -134.08833420116997,
'RandomForestMSE_BAG_L1': -118.45666016795705,
'ExtraTreesMSE_BAG_L1': -128.7334450621692,
'WeightedEnsemble_L2': -118.45666016795705,
'LightGBMXT_BAG_L2': -116.82849711714496,
'LightGBM_BAG_L2': -117.25413238595938,
'RandomForestMSE_BAG_L2': -120.02929221036626,
'WeightedEnsemble_L3': -116.52581891220792},
'model_best': 'WeightedEnsemble_L3',
'model_paths': {'KNeighborsUnif_BAG_L1': 'AutogluonModels/ag-20211207_124116\\models\\KNeighborsUnif_BAG_L1\\',
'KNeighborsDist_BAG_L1': 'AutogluonModels/ag-20211207_124116\\models\\KNeighborsDist_BAG_L1\\',
'LightGBMXT_BAG_L1': 'AutogluonModels/ag-20211207_124116\\models\\LightGBMXT_BAG_L1\\',
'RandomForestMSE_BAG_L1': 'AutogluonModels/ag-20211207_124116\\models\\RandomForestMSE_BAG_L1\\',
'ExtraTreesMSE_BAG_L1': 'AutogluonModels/ag-20211207_124116\\models\\ExtraTreesMSE_BAG_L1\\',
'WeightedEnsemble_L2': 'AutogluonModels/ag-20211207_124116\\models\\WeightedEnsemble_L2\\',
'LightGBMXT_BAG_L2': 'AutogluonModels/ag-20211207_124116\\models\\LightGBMXT_BAG_L2\\',
'LightGBM_BAG_L2': 'AutogluonModels/ag-20211207_124116\\models\\LightGBM_BAG_L2\\',
'RandomForestMSE_BAG_L2': 'AutogluonModels/ag-20211207_124116\\models\\RandomForestMSE_BAG_L2\\',
'WeightedEnsemble_L3': 'AutogluonModels/ag-20211207_124116\\models\\WeightedEnsemble_L3\\'},
'model_fit_times': {'KNeighborsUnif_BAG_L1': 0.05596804618835449,
'KNeighborsDist_BAG_L1': 0.04897189140319824,
'LightGBMXT_BAG_L1': 26.21090292930603,
'RandomForestMSE_BAG_L1': 2.7304279804229736,
'ExtraTreesMSE_BAG_L1': 1.3692100048065186,
'WeightedEnsemble_L2': 0.310821533203125,
'LightGBMXT_BAG_L2': 5.642719268798828,
'LightGBM_BAG_L2': 3.827756643295288,
'RandomForestMSE_BAG_L2': 6.58379864692688,
'WeightedEnsemble_L3': 0.21588730812072754},
'model_pred_times': {'KNeighborsUnif_BAG_L1': 0.11292243003845215,
'KNeighborsDist_BAG_L1': 0.11404681205749512,
'LightGBMXT_BAG_L1': 3.383063316345215,
'RandomForestMSE_BAG_L1': 0.32383298873901367,
'ExtraTreesMSE_BAG_L1': 0.3238346576690674,
'WeightedEnsemble_L2': 0.0009989738464355469,
'LightGBMXT_BAG_L2': 0.1719202995300293,
'LightGBM_BAG_L2': 0.0769345760345459,
'RandomForestMSE_BAG_L2': 0.40976691246032715,
'WeightedEnsemble_L3': 0.0009992122650146484},
'num_bag_folds': 10,
'max_stack_level': 3,
'model_hyperparams': {'KNeighborsUnif_BAG_L1': {'use_orig_features': True,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True,
'use_child_oof': True},
'KNeighborsDist_BAG_L1': {'use_orig_features': True,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True,
'use_child_oof': True},
'LightGBMXT_BAG_L1': {'use_orig_features': True,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True},
'RandomForestMSE_BAG_L1': {'use_orig_features': True,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True,
'use_child_oof': True},
'ExtraTreesMSE_BAG_L1': {'use_orig_features': True,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True,
'use_child_oof': True},
'WeightedEnsemble_L2': {'use_orig_features': False,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True},
'LightGBMXT_BAG_L2': {'use_orig_features': True,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True},
'LightGBM_BAG_L2': {'use_orig_features': True,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True},
'RandomForestMSE_BAG_L2': {'use_orig_features': True,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True,
'use_child_oof': True},
'WeightedEnsemble_L3': {'use_orig_features': False,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True}},
'leaderboard': model score_val pred_time_val fit_time \
0 WeightedEnsemble_L3 -116.525819 4.917321 46.685643
1 LightGBMXT_BAG_L2 -116.828497 4.429621 36.058200
2 LightGBM_BAG_L2 -117.254132 4.334635 34.243237
3 RandomForestMSE_BAG_L1 -118.456660 0.323833 2.730428
4 WeightedEnsemble_L2 -118.456660 0.324832 3.041250
5 RandomForestMSE_BAG_L2 -120.029292 4.667467 36.999279
6 ExtraTreesMSE_BAG_L1 -128.733445 0.323835 1.369210
7 LightGBMXT_BAG_L1 -134.088334 3.383063 26.210903
8 KNeighborsUnif_BAG_L1 -160.413078 0.112922 0.055968
9 KNeighborsDist_BAG_L1 -169.552096 0.114047 0.048972
pred_time_val_marginal fit_time_marginal stack_level can_infer \
0 0.000999 0.215887 3 True
1 0.171920 5.642719 2 True
2 0.076935 3.827757 2 True
3 0.323833 2.730428 1 True
4 0.000999 0.310822 2 True
5 0.409767 6.583799 2 True
6 0.323835 1.369210 1 True
7 3.383063 26.210903 1 True
8 0.112922 0.055968 1 True
9 0.114047 0.048972 1 True
fit_order
0 10
1 7
2 8
3 4
4 6
5 9
6 5
7 3
8 1
9 2 }
#Summary of the top predictor scores
predictor.leaderboard(df, silent=True)
| model | score_test | score_val | pred_time_test | pred_time_val | fit_time | pred_time_test_marginal | pred_time_val_marginal | fit_time_marginal | stack_level | can_infer | fit_order | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | RandomForestMSE_BAG_L1 | -43.634011 | -118.456660 | 0.632069 | 0.350819 | 2.670399 | 0.632069 | 0.350819 | 2.670399 | 1 | True | 5 |
| 1 | WeightedEnsemble_L2 | -43.634011 | -118.456660 | 0.640065 | 0.351823 | 2.990219 | 0.007997 | 0.001004 | 0.319819 | 2 | True | 6 |
| 2 | LightGBM_BAG_L2 | -64.027416 | -117.571913 | 18.166591 | 2.978304 | 39.001745 | 0.319816 | 0.056966 | 3.523970 | 2 | True | 8 |
| 3 | WeightedEnsemble_L3 | -64.217731 | -117.101612 | 19.020701 | 3.112224 | 44.428629 | 0.007769 | 0.000000 | 0.212890 | 3 | True | 10 |
| 4 | LightGBMXT_BAG_L2 | -65.338738 | -117.536940 | 18.693117 | 3.055258 | 40.691769 | 0.846342 | 0.133920 | 5.213994 | 2 | True | 7 |
| 5 | RandomForestMSE_BAG_L2 | -65.391408 | -120.872583 | 18.446479 | 3.348073 | 41.980420 | 0.599704 | 0.426736 | 6.502644 | 2 | True | 9 |
| 6 | KNeighborsDist_BAG_L1 | -68.114477 | -169.552096 | 0.131080 | 0.112583 | 0.044974 | 0.131080 | 0.112583 | 0.044974 | 1 | True | 2 |
| 7 | LightGBM_BAG_L1 | -102.898965 | -132.344251 | 1.797965 | 0.213881 | 7.078919 | 1.797965 | 0.213881 | 7.078919 | 1 | True | 4 |
| 8 | LightGBMXT_BAG_L1 | -116.342281 | -134.100042 | 15.162717 | 2.131772 | 25.636512 | 15.162717 | 2.131772 | 25.636512 | 1 | True | 3 |
| 9 | KNeighborsUnif_BAG_L1 | -130.801229 | -160.413078 | 0.122945 | 0.112283 | 0.046972 | 0.122945 | 0.112283 | 0.046972 | 1 | True | 1 |
#Show the features' importance scores
predictor.feature_importance(data=df)
Computing feature importance via permutation shuffling for 9 features using 1000 rows with 3 shuffle sets... 173.03s = Expected runtime (57.68s per shuffle set) 109.93s = Actual runtime (Completed 3 of 3 shuffle sets)
| importance | stddev | p_value | n | p99_high | p99_low | |
|---|---|---|---|---|---|---|
| datetime | 114.578957 | 2.056792 | 0.000054 | 3 | 126.364603 | 102.793312 |
| humidity | 85.476958 | 4.246491 | 0.000411 | 3 | 109.809820 | 61.144096 |
| atemp | 80.665268 | 3.179611 | 0.000259 | 3 | 98.884790 | 62.445746 |
| temp | 47.347653 | 1.602999 | 0.000191 | 3 | 56.533016 | 38.162289 |
| windspeed | 30.944962 | 4.054998 | 0.002838 | 3 | 54.180549 | 7.709375 |
| workingday | 15.309436 | 2.559048 | 0.004593 | 3 | 29.973063 | 0.645810 |
| weather | 10.638480 | 1.189232 | 0.002070 | 3 | 17.452911 | 3.824049 |
| holiday | 0.743894 | 0.076601 | 0.001758 | 3 | 1.182825 | 0.304963 |
| season | 0.543100 | 1.316102 | 0.274467 | 3 | 8.084510 | -6.998310 |
#Create prediction
predictions = predictor.predict(test)
predictions.head()
0 100.086792 1 88.135239 2 88.135239 3 116.114746 4 116.114746 Name: count, dtype: float32
# Describe the `predictions` series to see if there are any negative values
predictions.describe()
count 6493.000000 mean 209.554092 std 124.452072 min 15.967967 25% 109.388290 50% 195.461670 75% 288.361084 max 628.322876 Name: count, dtype: float64
# How many negative values do we have?
(predictions < 0).values.any()
False
# Set them to zero
predictions[predictions<0] = 0
submission["count"] = predictions
submission.to_csv("submission.csv", index=False)
!kaggle competitions submit -c bike-sharing-demand -f submission.csv -m "first raw submission"
Successfully submitted to Bike Sharing Demand
c:\users\hp\anaconda3\envs\aws deep learning\lib\site-packages\cryptography\hazmat\backends\openssl\x509.py:17: CryptographyDeprecationWarning: This version of cryptography contains a temporary pyOpenSSL fallback path. Upgrade pyOpenSSL now. utils.DeprecatedIn35, 0%| | 0.00/195k [00:00<?, ?B/s] 4%|4 | 8.00k/195k [00:00<00:05, 38.1kB/s] 49%|####9 | 96.0k/195k [00:00<00:00, 373kB/s] 100%|##########| 195k/195k [00:00<00:00, 583kB/s] 100%|##########| 195k/195k [00:02<00:00, 94.1kB/s]
My Submissions¶!kaggle competitions submissions -c bike-sharing-demand
fileName date description status publicScore privateScore ----------------------------- ------------------- -------------------------------------------- -------- ----------- ------------ submission.csv 2021-12-08 11:13:27 first raw submission complete 1.38952 1.38952 submission_new_hpo.csv 2021-12-08 11:06:33 new features with hyperparameters Tune complete 0.48748 0.48748 submission_new_hpo.csv 2021-12-08 09:14:10 new features with hyperparameters Tune complete 0.51858 0.51858 submission_new_hpo_ensV4.csv 2021-12-07 15:02:09 new features with hyperparameters Vקרדןםמ 4 complete 0.48961 0.48961 submission_new_hpo.csv 2021-12-07 14:29:38 new features with hyperparameters Tune complete 0.48338 0.48338 submission_new_featuresV3.csv 2021-12-07 14:00:06 new featuresV3 complete 0.45074 0.45074 submission_new_featuresV2.csv 2021-12-07 13:39:45 new features complete 0.50306 0.50306 submission_new_features.csv 2021-12-07 13:09:48 new features complete 0.51097 0.51097 submission.csv 2021-12-07 13:04:23 first raw submission complete 1.39309 1.39309 submission_new_hpo.csv 2021-12-07 11:12:13 new features with hyperparameters Tune complete 0.45509 0.45509 submission_new_featuresV3.csv 2021-12-07 10:53:43 new featuresV3 complete 0.45057 0.45057 submission_new_featuresV2.csv 2021-12-07 10:43:05 new features complete 0.47595 0.47595 submission_new_featuresV2.csv 2021-12-07 10:42:32 new features error None None submission_new_features.csv 2021-12-07 10:32:26 new features complete 0.50670 0.50670 submission.csv 2021-12-07 10:24:27 first raw submission complete 1.38989 1.38989 submission_new_hpo.csv 2021-12-07 09:08:34 new features with hyperparameters complete 0.46172 0.46172 submission_new_hpo.csv 2021-12-07 08:59:07 new features with hyperparameters complete 0.45760 0.45760 submission_new_features.csv 2021-12-06 20:57:01 new features complete 0.44755 0.44755 submission_new_features.csv 2021-12-06 20:50:18 new features complete 0.44577 0.44577 submission_new_features.csv 2021-12-06 20:45:43 new features complete 0.44592 0.44592 submission_RMSLE.csv 2021-12-06 17:57:57 Custome Eval Metric complete 0.46093 0.46093 submission_RMSLE.csv 2021-12-06 17:46:31 Custome Eval Metric complete 0.46093 0.46093 submission_RMSLE.csv 2021-12-06 17:25:04 Custome Eval Metric complete 0.46093 0.46093 submission_RMSLE.csv 2021-12-06 17:13:44 Custome Eval Metric complete 0.46093 0.46093 submission_new_hpo_ens.csv 2021-12-06 15:59:53 new features with hyperparameters complete 0.44685 0.44685 submission_new_hpo_ens.csv 2021-12-06 15:55:19 new features with hyperparameters complete 0.47243 0.47243 submission_new_hpo_ens.csv 2021-12-06 15:14:56 new features with hyperparameters complete 0.44685 0.44685 submission_new_hpo_ens.csv 2021-12-06 15:11:35 new features with hyperparameters complete 0.47219 0.47219 submission_new_hpo_ens.csv 2021-12-06 15:03:25 new features with hyperparameters complete 0.44685 0.44685 submission_new_hpo.csv 2021-12-06 15:02:29 new features with hyperparameters complete 0.44685 0.44685 submission_new_hpo.csv 2021-12-06 13:32:40 new features with hyperparameters complete 0.44575 0.44575 submission_new_hpo.csv 2021-12-06 12:22:42 new features with hyperparameters complete 0.45943 0.45943 submission_new_hpo.csv 2021-12-06 12:19:40 new features with hyperparameters complete 0.45999 0.45999 submission_new_hpo.csv 2021-12-06 11:38:43 new features with hyperparameters complete 0.49236 0.49236 submission_new_hpo.csv 2021-12-06 11:23:09 new features with hyperparameters complete 0.44575 0.44575 submission_new_hpo.csv 2021-12-06 11:18:36 new features with hyperparameters complete 0.44575 0.44575 submission_new_hpo.csv 2021-12-06 11:13:58 new features with hyperparameters complete 0.46954 0.46954 submission_new_features.csv 2021-12-06 10:58:08 new features complete 0.44585 0.44585 submission_new_hpo.csv 2021-12-06 10:54:45 new features with hyperparameters complete 0.48625 0.48625 submission_new_hpo.csv 2021-12-06 10:39:14 new features with hyperparameters complete 0.49986 0.49986 submission_new_hpo.csv 2021-12-06 10:35:11 new features with hyperparameters complete 0.45109 0.45109 submission_new_features.csv 2021-12-06 09:55:51 new features complete 0.44583 0.44583 submission_new_features.csv 2021-12-04 11:36:34 new features complete 0.47874 0.47874 submission_new_features.csv 2021-12-04 11:32:02 new features complete 0.50538 0.50538 submission_new_features.csv 2021-12-04 11:17:25 new features complete 0.48208 0.48208 submission_new_features.csv 2021-12-04 11:10:20 new features error None None submission_new_features.csv 2021-12-02 10:41:10 new features complete 0.48497 0.48497 submission_new_features.csv 2021-12-02 08:13:40 new features complete 0.53024 0.53024 submission_new_features.csv 2021-12-01 11:21:00 new features complete 0.52819 0.52819 submission.csv 2021-11-30 11:39:40 first raw submission complete 1.39183 1.39183
c:\users\hp\anaconda3\envs\aws deep learning\lib\site-packages\cryptography\hazmat\backends\openssl\x509.py:17: CryptographyDeprecationWarning: This version of cryptography contains a temporary pyOpenSSL fallback path. Upgrade pyOpenSSL now. utils.DeprecatedIn35,
import matplotlib.pyplot as plt
# Create a histogram of all features to show the distribution of each one relative to the data. This is part of the exploritory data analysis
#Select all features (Except date)
features = train.columns
features = features.drop('datetime')
fig, axs = plt.subplots(4, 3, figsize=(25, 25))
axs = axs.flatten()
ax_idx = 0
#Iterate over the features, and plot Histogram of all features and the target
for items in features :
ax = train[items].plot(kind = "hist",figsize=(10, 10),color='blue',fontsize = 7,bins=25,ax=axs[ax_idx])
ax.set_facecolor('white')
ax.set_title(items, fontdict={'fontsize': 12, 'fontweight': 'medium'})
ax.legend(fontsize = 12)
ax_idx += 1
ax=axs[11]
ax.axis('off')
plt.tight_layout()
plt.show()
#BoxPlot is another way to show distribution and also check for outliers
import seaborn as sns
sns.set_style("whitegrid")
fig, axs = plt.subplots(4, 3, figsize=(15, 12))
axs = axs.flatten()
ax_idx = 0
for items in features :
boxplot = sns.boxplot(y = items ,data = train ,ax = axs[ax_idx])
boxplot.set_ylabel(items, fontsize=14)
ax_idx +=1
ax=axs[11]
ax.axis('off')
(0.0, 1.0, 0.0, 1.0)
#display Time series data of the count (demand )
# Check each Month and look for patterns
from itertools import cycle
#Create a date column
train ['date'] = pd.to_datetime(train['datetime'], errors='coerce')
color_cycle = cycle(plt.rcParams['axes.prop_cycle'].by_key()['color'])
Months = pd.date_range(start = '2011-01', end = '2012-12').to_period('M').unique()
fig, axs = plt.subplots(12, 2, figsize=(10, 25))
axs = axs.flatten()
ax_idx = 0
for item in Months:
#Slice The Data for only January 2011
mask = (train ['date'].dt.to_period('M') == pd.to_datetime(item.strftime('%Y-%m')).to_period('M'))
#Visualize the demand for January 2011
demnad_data = train.loc[mask]
demnad_data = pd.DataFrame(demnad_data[['count','date']])
demnad_data.index = demnad_data['date']
ax = demnad_data['count'].plot(figsize=(25, 38),color=next(color_cycle),fontsize = 18,ax=axs[ax_idx])
ax.set_facecolor('white')
ax.set_xlabel("Date",size=25)
ax.set_ylabel("Bike Demand",size=25)
ax.set_title('Bike Demand '+item.strftime('%Y-%m'), fontdict={'fontsize': 30, 'fontweight': 'medium'})
ax_idx += 1
plt.tight_layout()
plt.show()
#Visualize the Hourly distribution of the demand (Boxplot)
train['hour'] = train['date'].dt.hour
plt.figure(figsize=(15,12))
boxplot = sns.boxplot(y = 'count', x = 'hour' ,data = train )
boxplot.set_ylabel("Bike Demand", fontsize=14)
Text(0, 0.5, 'Bike Demand')
# create a new feature - First round
train ['date'] = pd.to_datetime(train['datetime'], errors='coerce')
test ['date'] = pd.to_datetime(test['datetime'], errors='coerce')
train['hour'] = train['date'].dt.hour
test['hour'] = test['date'].dt.hour
train['weekday'] = train['date'].dt.weekday
test['weekday'] = test['date'].dt.weekday
train['day'] = train['date'].dt.day
test['day'] = test['date'].dt.day
train['month'] = train['date'].dt.month
test['month'] = test['date'].dt.month
train.head()
| datetime | season | holiday | workingday | weather | temp | atemp | humidity | windspeed | casual | registered | count | date | hour | weekday | day | month | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 2011-01-01 00:00:00 | 1 | 0 | 0 | 1 | 9.84 | 14.395 | 81 | 0.0 | 3 | 13 | 16 | 2011-01-01 00:00:00 | 0 | 5 | 1 | 1 |
| 1 | 2011-01-01 01:00:00 | 1 | 0 | 0 | 1 | 9.02 | 13.635 | 80 | 0.0 | 8 | 32 | 40 | 2011-01-01 01:00:00 | 1 | 5 | 1 | 1 |
| 2 | 2011-01-01 02:00:00 | 1 | 0 | 0 | 1 | 9.02 | 13.635 | 80 | 0.0 | 5 | 27 | 32 | 2011-01-01 02:00:00 | 2 | 5 | 1 | 1 |
| 3 | 2011-01-01 03:00:00 | 1 | 0 | 0 | 1 | 9.84 | 14.395 | 75 | 0.0 | 3 | 10 | 13 | 2011-01-01 03:00:00 | 3 | 5 | 1 | 1 |
| 4 | 2011-01-01 04:00:00 | 1 | 0 | 0 | 1 | 9.84 | 14.395 | 75 | 0.0 | 0 | 1 | 1 | 2011-01-01 04:00:00 | 4 | 5 | 1 | 1 |
categorical_features = ["hour","day","month","season","weather","holiday","workingday","weekday"]
for items in categorical_features:
train[items] = train[items].astype("category")
test[items] = test[items].astype("category")
# View the new feature
train.head()
| datetime | season | holiday | workingday | weather | temp | atemp | humidity | windspeed | casual | registered | count | date | hour | weekday | day | month | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 2011-01-01 00:00:00 | 1 | 0 | 0 | 1 | 9.84 | 14.395 | 81 | 0.0 | 3 | 13 | 16 | 2011-01-01 00:00:00 | 0 | 5 | 1 | 1 |
| 1 | 2011-01-01 01:00:00 | 1 | 0 | 0 | 1 | 9.02 | 13.635 | 80 | 0.0 | 8 | 32 | 40 | 2011-01-01 01:00:00 | 1 | 5 | 1 | 1 |
| 2 | 2011-01-01 02:00:00 | 1 | 0 | 0 | 1 | 9.02 | 13.635 | 80 | 0.0 | 5 | 27 | 32 | 2011-01-01 02:00:00 | 2 | 5 | 1 | 1 |
| 3 | 2011-01-01 03:00:00 | 1 | 0 | 0 | 1 | 9.84 | 14.395 | 75 | 0.0 | 3 | 10 | 13 | 2011-01-01 03:00:00 | 3 | 5 | 1 | 1 |
| 4 | 2011-01-01 04:00:00 | 1 | 0 | 0 | 1 | 9.84 | 14.395 | 75 | 0.0 | 0 | 1 | 1 | 2011-01-01 04:00:00 | 4 | 5 | 1 | 1 |
# View histogram of all features again now with the hour feature
# Create a histogram of all features to show the distribution of each one relative to the data. This is part of the exploritory data analysis
#Select all features (Except date)
features = train.columns
features = features.drop(['datetime','date'])
fig, axs = plt.subplots(5, 3, figsize=(25, 25))
axs = axs.flatten()
ax_idx = 0
#Iterate over the features, and plot Histogram of all features and the target
for items in features :
ax = train[items].astype('int').plot(kind = "hist",figsize=(15, 10),color='blue',fontsize = 7,bins=25,ax=axs[ax_idx])
ax.set_facecolor('white')
ax.set_title(items, fontdict={'fontsize': 15, 'fontweight': 'medium'})
ax.legend(fontsize = 15)
ax_idx += 1
plt.tight_layout()
plt.show()
df = train.drop(columns=['casual', 'registered'])
predictor_new_features = TabularPredictor(label="count",eval_metric='root_mean_squared_error').fit(
train_data=df,
time_limit=60,
presets="best_quality"
)
No path specified. Models will be saved in: "AutogluonModels/ag-20211210_084101\"
Presets specified: ['best_quality']
Beginning AutoGluon training ... Time limit = 60s
AutoGluon will save models to "AutogluonModels/ag-20211210_084101\"
AutoGluon Version: 0.3.1
Train Data Rows: 10886
Train Data Columns: 15
Preprocessing data ...
AutoGluon infers your prediction problem is: 'regression' (because dtype of label-column == int and many unique label-values observed).
Label info (max, min, mean, stddev): (977, 1, 191.57413, 181.14445)
If 'regression' is not the correct problem_type, please manually specify the problem_type argument in fit() (You may specify problem_type as one of: ['binary', 'multiclass', 'regression'])
Using Feature Generators to preprocess the data ...
Fitting AutoMLPipelineFeatureGenerator...
Available Memory: 1953.09 MB
Train Data (Original) Memory Usage: 2.03 MB (0.1% of available memory)
Inferring data type of each feature based on column values. Set feature_metadata_in to manually specify special dtypes of the features.
Stage 1 Generators:
Fitting AsTypeFeatureGenerator...
Note: Converting 2 features to boolean dtype as they only contain 2 unique values.
Stage 2 Generators:
Fitting FillNaFeatureGenerator...
Stage 3 Generators:
Fitting IdentityFeatureGenerator...
Fitting CategoryFeatureGenerator...
Fitting CategoryMemoryMinimizeFeatureGenerator...
Fitting DatetimeFeatureGenerator...
Stage 4 Generators:
Fitting DropUniqueFeatureGenerator...
Useless Original Features (Count: 1): ['data']
These features carry no predictive signal and should be manually investigated.
This is typically a feature which has the same value for all rows.
These features do not need to be present at inference time.
Types of features in original data (raw dtype, special dtypes):
('category', []) : 8 | ['season', 'holiday', 'workingday', 'weather', 'hour', ...]
('datetime', []) : 1 | ['date']
('float', []) : 3 | ['temp', 'atemp', 'windspeed']
('int', []) : 1 | ['humidity']
('object', ['datetime_as_object']) : 1 | ['datetime']
Types of features in processed data (raw dtype, special dtypes):
('category', []) : 6 | ['season', 'weather', 'hour', 'weekday', 'day', ...]
('float', []) : 3 | ['temp', 'atemp', 'windspeed']
('int', []) : 1 | ['humidity']
('int', ['bool']) : 2 | ['holiday', 'workingday']
('int', ['datetime_as_int']) : 2 | ['datetime', 'date']
0.2s = Fit runtime
14 features in original data used to generate 14 features in processed data.
Train Data (Processed) Memory Usage: 0.61 MB (0.0% of available memory)
Data preprocessing and feature engineering runtime = 0.24s ...
AutoGluon will gauge predictive performance using evaluation metric: 'root_mean_squared_error'
To change this, specify the eval_metric argument of fit()
AutoGluon will fit 2 stack levels (L1 to L2) ...
Fitting 11 L1 models ...
Fitting model: KNeighborsUnif_BAG_L1 ... Training model for up to 39.83s of the 59.75s of remaining time.
-164.89 = Validation score (root_mean_squared_error)
0.04s = Training runtime
0.11s = Validation runtime
Fitting model: KNeighborsDist_BAG_L1 ... Training model for up to 39.53s of the 59.46s of remaining time.
-179.1334 = Validation score (root_mean_squared_error)
0.03s = Training runtime
0.11s = Validation runtime
Fitting model: LightGBMXT_BAG_L1 ... Training model for up to 39.26s of the 59.19s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000] train_set's rmse: 20.0349 valid_set's rmse: 33.0906
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000] train_set's rmse: 20.0109 valid_set's rmse: 37.3011 [2000] train_set's rmse: 14.346 valid_set's rmse: 36.4372
Ran out of time, early stopping on iteration 2628. Best iteration is:
[2622] train_set's rmse: 12.0628 valid_set's rmse: 36.2657
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000] train_set's rmse: 19.9945 valid_set's rmse: 30.9504
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000] train_set's rmse: 19.8095 valid_set's rmse: 36.08 [2000] train_set's rmse: 14.2079 valid_set's rmse: 35.7043
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000] train_set's rmse: 19.9756 valid_set's rmse: 35.7323 [2000] train_set's rmse: 14.2133 valid_set's rmse: 35.0161
Ran out of time, early stopping on iteration 3105. Best iteration is: [3104] train_set's rmse: 10.5517 valid_set's rmse: 34.7049
[3000] train_set's rmse: 10.8298 valid_set's rmse: 34.7197
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000] train_set's rmse: 19.7593 valid_set's rmse: 37.451 [2000] train_set's rmse: 14.2066 valid_set's rmse: 37.1562
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000] train_set's rmse: 20.0367 valid_set's rmse: 33.9869 [2000] train_set's rmse: 14.292 valid_set's rmse: 33.5375
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000] train_set's rmse: 20.0505 valid_set's rmse: 37.3398 [2000] train_set's rmse: 14.4084 valid_set's rmse: 36.7304 [3000] train_set's rmse: 11.0132 valid_set's rmse: 36.5665 [4000] train_set's rmse: 8.66953 valid_set's rmse: 36.4833
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
-34.5022 = Validation score (root_mean_squared_error)
25.54s = Training runtime
1.16s = Validation runtime
Fitting model: LightGBM_BAG_L1 ... Training model for up to 10.82s of the 30.75s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
Ran out of time, early stopping on iteration 479. Best iteration is:
[478] train_set's rmse: 21.1341 valid_set's rmse: 33.7527
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
Ran out of time, early stopping on iteration 497. Best iteration is:
[497] train_set's rmse: 21.0365 valid_set's rmse: 38.6895
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
Ran out of time, early stopping on iteration 520. Best iteration is:
[515] train_set's rmse: 20.6875 valid_set's rmse: 32.1576
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
Ran out of time, early stopping on iteration 566. Best iteration is:
[566] train_set's rmse: 19.4182 valid_set's rmse: 37.5184
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
Ran out of time, early stopping on iteration 601. Best iteration is:
[581] train_set's rmse: 19.3482 valid_set's rmse: 36.4042
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
Ran out of time, early stopping on iteration 899. Best iteration is:
[860] train_set's rmse: 15.8173 valid_set's rmse: 39.0828
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
Ran out of time, early stopping on iteration 825. Best iteration is:
[787] train_set's rmse: 16.608 valid_set's rmse: 33.1092
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
Ran out of time, early stopping on iteration 503. Best iteration is:
[496] train_set's rmse: 21.0566 valid_set's rmse: 34.0305
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
Ran out of time, early stopping on iteration 776. Best iteration is:
[724] train_set's rmse: 17.5407 valid_set's rmse: 38.7175
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
Ran out of time, early stopping on iteration 921. Best iteration is:
[921] train_set's rmse: 15.4539 valid_set's rmse: 33.711
-35.8058 = Validation score (root_mean_squared_error)
9.85s = Training runtime
0.35s = Validation runtime
Completed 1/20 k-fold bagging repeats ...
Fitting model: WeightedEnsemble_L2 ... Training model for up to 59.76s of the 19.83s of remaining time.
-34.136 = Validation score (root_mean_squared_error)
0.29s = Training runtime
0.0s = Validation runtime
Fitting 9 L2 models ...
Fitting model: LightGBMXT_BAG_L2 ... Training model for up to 19.53s of the 19.52s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
-35.6942 = Validation score (root_mean_squared_error)
6.23s = Training runtime
0.2s = Validation runtime
Fitting model: LightGBM_BAG_L2 ... Training model for up to 12.92s of the 12.91s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
-34.9278 = Validation score (root_mean_squared_error)
4.6s = Training runtime
0.14s = Validation runtime
Fitting model: RandomForestMSE_BAG_L2 ... Training model for up to 8.07s of the 8.06s of remaining time.
-35.4279 = Validation score (root_mean_squared_error)
8.34s = Training runtime
0.48s = Validation runtime
Completed 1/20 k-fold bagging repeats ...
Fitting model: WeightedEnsemble_L3 ... Training model for up to 59.76s of the -2.24s of remaining time.
-34.67 = Validation score (root_mean_squared_error)
0.22s = Training runtime
0.0s = Validation runtime
AutoGluon training complete, total runtime = 62.48s ...
TabularPredictor saved. To load, use: predictor = TabularPredictor.load("AutogluonModels/ag-20211210_084101\")
predictor_new_features.leaderboard(df, silent=True)
| model | score_test | score_val | pred_time_test | pred_time_val | fit_time | pred_time_test_marginal | pred_time_val_marginal | fit_time_marginal | stack_level | can_infer | fit_order | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | LightGBM_BAG_L2 | -13.931066 | -34.063639 | 14.252502 | 2.407869 | 36.289093 | 0.602653 | 0.148915 | 4.341497 | 2 | True | 8 |
| 1 | WeightedEnsemble_L3 | -13.955036 | -33.816883 | 16.325964 | 3.124473 | 51.073545 | 0.008994 | 0.000999 | 0.223871 | 3 | True | 10 |
| 2 | ExtraTreesMSE_BAG_L1 | -13.963567 | -37.907656 | 0.606763 | 0.410764 | 1.959871 | 0.606763 | 0.410764 | 1.959871 | 1 | True | 5 |
| 3 | RandomForestMSE_BAG_L1 | -14.159395 | -38.415614 | 0.677047 | 0.383782 | 4.031678 | 0.677047 | 0.383782 | 4.031678 | 1 | True | 4 |
| 4 | WeightedEnsemble_L2 | -14.780175 | -33.598879 | 13.402286 | 2.032838 | 32.200451 | 0.008996 | 0.000000 | 0.318815 | 2 | True | 6 |
| 5 | LightGBMXT_BAG_L2 | -14.891751 | -35.081237 | 14.948757 | 2.485825 | 38.539795 | 1.298908 | 0.226870 | 6.592200 | 2 | True | 7 |
| 6 | RandomForestMSE_BAG_L2 | -15.514304 | -34.479085 | 14.415409 | 2.747689 | 39.915977 | 0.765560 | 0.488734 | 7.968381 | 2 | True | 9 |
| 7 | LightGBMXT_BAG_L1 | -16.404830 | -34.479591 | 12.109479 | 1.238292 | 25.890086 | 12.109479 | 1.238292 | 25.890086 | 1 | True | 3 |
| 8 | KNeighborsDist_BAG_L1 | -107.626155 | -179.133407 | 0.130545 | 0.112663 | 0.032980 | 0.130545 | 0.112663 | 0.032980 | 1 | True | 2 |
| 9 | KNeighborsUnif_BAG_L1 | -136.323106 | -164.889972 | 0.126014 | 0.113454 | 0.032980 | 0.126014 | 0.113454 | 0.032980 | 1 | True | 1 |
predictor_new_features.fit_summary()
*** Summary of fit() ***
Estimated performance of each model:
model score_val pred_time_val fit_time pred_time_val_marginal fit_time_marginal stack_level can_infer fit_order
0 WeightedEnsemble_L2 -33.593303 2.129800 33.573897 0.000000 0.338801 2 True 6
1 WeightedEnsemble_L3 -33.749492 3.340071 54.996199 0.000999 0.243859 3 True 10
2 LightGBM_BAG_L2 -33.994852 2.489593 37.692526 0.132922 4.387472 2 True 8
3 LightGBMXT_BAG_L1 -34.475003 1.423190 26.853534 1.423190 26.853534 1 True 3
4 RandomForestMSE_BAG_L2 -34.500057 2.986277 42.472419 0.629606 9.167365 2 True 9
5 LightGBMXT_BAG_L2 -34.905302 2.576544 41.197504 0.219873 7.892449 2 True 7
6 ExtraTreesMSE_BAG_L1 -37.907656 0.336821 1.946200 0.336821 1.946200 1 True 5
7 RandomForestMSE_BAG_L1 -38.415614 0.369789 4.435361 0.369789 4.435361 1 True 4
8 KNeighborsUnif_BAG_L1 -164.889972 0.113935 0.037978 0.113935 0.037978 1 True 1
9 KNeighborsDist_BAG_L1 -179.133407 0.112936 0.031981 0.112936 0.031981 1 True 2
Number of models trained: 10
Types of models trained:
{'StackerEnsembleModel_RF', 'StackerEnsembleModel_LGB', 'WeightedEnsembleModel', 'StackerEnsembleModel_KNN', 'StackerEnsembleModel_XT'}
Bagging used: True (with 10 folds)
Multi-layer stack-ensembling used: True (with 3 levels)
Feature Metadata (Processed):
(raw dtype, special dtypes):
('category', []) : 6 | ['season', 'weather', 'hour', 'weekday', 'day', ...]
('float', []) : 3 | ['temp', 'atemp', 'windspeed']
('int', []) : 1 | ['humidity']
('int', ['bool']) : 2 | ['holiday', 'workingday']
('int', ['datetime_as_int']) : 2 | ['datetime', 'date']
Plot summary of models saved to file: AutogluonModels/ag-20211207_102600\SummaryOfModels.html
*** End of fit() summary ***
{'model_types': {'KNeighborsUnif_BAG_L1': 'StackerEnsembleModel_KNN',
'KNeighborsDist_BAG_L1': 'StackerEnsembleModel_KNN',
'LightGBMXT_BAG_L1': 'StackerEnsembleModel_LGB',
'RandomForestMSE_BAG_L1': 'StackerEnsembleModel_RF',
'ExtraTreesMSE_BAG_L1': 'StackerEnsembleModel_XT',
'WeightedEnsemble_L2': 'WeightedEnsembleModel',
'LightGBMXT_BAG_L2': 'StackerEnsembleModel_LGB',
'LightGBM_BAG_L2': 'StackerEnsembleModel_LGB',
'RandomForestMSE_BAG_L2': 'StackerEnsembleModel_RF',
'WeightedEnsemble_L3': 'WeightedEnsembleModel'},
'model_performance': {'KNeighborsUnif_BAG_L1': -164.8899720329543,
'KNeighborsDist_BAG_L1': -179.13340722310159,
'LightGBMXT_BAG_L1': -34.475002742310096,
'RandomForestMSE_BAG_L1': -38.41561355866655,
'ExtraTreesMSE_BAG_L1': -37.90765646612652,
'WeightedEnsemble_L2': -33.59330256328244,
'LightGBMXT_BAG_L2': -34.90530180594752,
'LightGBM_BAG_L2': -33.99485199077562,
'RandomForestMSE_BAG_L2': -34.50005694220576,
'WeightedEnsemble_L3': -33.74949163388618},
'model_best': 'WeightedEnsemble_L2',
'model_paths': {'KNeighborsUnif_BAG_L1': 'AutogluonModels/ag-20211207_102600\\models\\KNeighborsUnif_BAG_L1\\',
'KNeighborsDist_BAG_L1': 'AutogluonModels/ag-20211207_102600\\models\\KNeighborsDist_BAG_L1\\',
'LightGBMXT_BAG_L1': 'AutogluonModels/ag-20211207_102600\\models\\LightGBMXT_BAG_L1\\',
'RandomForestMSE_BAG_L1': 'AutogluonModels/ag-20211207_102600\\models\\RandomForestMSE_BAG_L1\\',
'ExtraTreesMSE_BAG_L1': 'AutogluonModels/ag-20211207_102600\\models\\ExtraTreesMSE_BAG_L1\\',
'WeightedEnsemble_L2': 'AutogluonModels/ag-20211207_102600\\models\\WeightedEnsemble_L2\\',
'LightGBMXT_BAG_L2': 'AutogluonModels/ag-20211207_102600\\models\\LightGBMXT_BAG_L2\\',
'LightGBM_BAG_L2': 'AutogluonModels/ag-20211207_102600\\models\\LightGBM_BAG_L2\\',
'RandomForestMSE_BAG_L2': 'AutogluonModels/ag-20211207_102600\\models\\RandomForestMSE_BAG_L2\\',
'WeightedEnsemble_L3': 'AutogluonModels/ag-20211207_102600\\models\\WeightedEnsemble_L3\\'},
'model_fit_times': {'KNeighborsUnif_BAG_L1': 0.037978172302246094,
'KNeighborsDist_BAG_L1': 0.03198051452636719,
'LightGBMXT_BAG_L1': 26.85353446006775,
'RandomForestMSE_BAG_L1': 4.435361385345459,
'ExtraTreesMSE_BAG_L1': 1.9462001323699951,
'WeightedEnsemble_L2': 0.33880090713500977,
'LightGBMXT_BAG_L2': 7.892449140548706,
'LightGBM_BAG_L2': 4.387471675872803,
'RandomForestMSE_BAG_L2': 9.167364597320557,
'WeightedEnsemble_L3': 0.24385905265808105},
'model_pred_times': {'KNeighborsUnif_BAG_L1': 0.11393499374389648,
'KNeighborsDist_BAG_L1': 0.11293578147888184,
'LightGBMXT_BAG_L1': 1.423189640045166,
'RandomForestMSE_BAG_L1': 0.36978888511657715,
'ExtraTreesMSE_BAG_L1': 0.3368213176727295,
'WeightedEnsemble_L2': 0.0,
'LightGBMXT_BAG_L2': 0.21987295150756836,
'LightGBM_BAG_L2': 0.13292193412780762,
'RandomForestMSE_BAG_L2': 0.6296062469482422,
'WeightedEnsemble_L3': 0.00099945068359375},
'num_bag_folds': 10,
'max_stack_level': 3,
'model_hyperparams': {'KNeighborsUnif_BAG_L1': {'use_orig_features': True,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True,
'use_child_oof': True},
'KNeighborsDist_BAG_L1': {'use_orig_features': True,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True,
'use_child_oof': True},
'LightGBMXT_BAG_L1': {'use_orig_features': True,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True},
'RandomForestMSE_BAG_L1': {'use_orig_features': True,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True,
'use_child_oof': True},
'ExtraTreesMSE_BAG_L1': {'use_orig_features': True,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True,
'use_child_oof': True},
'WeightedEnsemble_L2': {'use_orig_features': False,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True},
'LightGBMXT_BAG_L2': {'use_orig_features': True,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True},
'LightGBM_BAG_L2': {'use_orig_features': True,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True},
'RandomForestMSE_BAG_L2': {'use_orig_features': True,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True,
'use_child_oof': True},
'WeightedEnsemble_L3': {'use_orig_features': False,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True}},
'leaderboard': model score_val pred_time_val fit_time \
0 WeightedEnsemble_L2 -33.593303 2.129800 33.573897
1 WeightedEnsemble_L3 -33.749492 3.340071 54.996199
2 LightGBM_BAG_L2 -33.994852 2.489593 37.692526
3 LightGBMXT_BAG_L1 -34.475003 1.423190 26.853534
4 RandomForestMSE_BAG_L2 -34.500057 2.986277 42.472419
5 LightGBMXT_BAG_L2 -34.905302 2.576544 41.197504
6 ExtraTreesMSE_BAG_L1 -37.907656 0.336821 1.946200
7 RandomForestMSE_BAG_L1 -38.415614 0.369789 4.435361
8 KNeighborsUnif_BAG_L1 -164.889972 0.113935 0.037978
9 KNeighborsDist_BAG_L1 -179.133407 0.112936 0.031981
pred_time_val_marginal fit_time_marginal stack_level can_infer \
0 0.000000 0.338801 2 True
1 0.000999 0.243859 3 True
2 0.132922 4.387472 2 True
3 1.423190 26.853534 1 True
4 0.629606 9.167365 2 True
5 0.219873 7.892449 2 True
6 0.336821 1.946200 1 True
7 0.369789 4.435361 1 True
8 0.113935 0.037978 1 True
9 0.112936 0.031981 1 True
fit_order
0 6
1 10
2 8
3 3
4 9
5 7
6 5
7 4
8 1
9 2 }
predictor_new_features.feature_importance(data=df)
Computing feature importance via permutation shuffling for 14 features using 1000 rows with 3 shuffle sets... 114.66s = Expected runtime (38.22s per shuffle set) 59.56s = Actual runtime (Completed 3 of 3 shuffle sets)
| importance | stddev | p_value | n | p99_high | p99_low | |
|---|---|---|---|---|---|---|
| hour | 197.170591 | 3.534212 | 0.000054 | 3 | 217.422016 | 176.919166 |
| workingday | 67.957786 | 2.856578 | 0.000294 | 3 | 84.326298 | 51.589275 |
| date | 34.485488 | 2.689452 | 0.001011 | 3 | 49.896344 | 19.074632 |
| datetime | 33.603976 | 2.187511 | 0.000705 | 3 | 46.138653 | 21.069298 |
| weekday | 22.583808 | 0.668894 | 0.000146 | 3 | 26.416645 | 18.750971 |
| humidity | 22.122182 | 0.923877 | 0.000290 | 3 | 27.416100 | 16.828264 |
| temp | 17.940420 | 0.912210 | 0.000430 | 3 | 23.167483 | 12.713358 |
| atemp | 16.174898 | 1.225393 | 0.000954 | 3 | 23.196534 | 9.153262 |
| weather | 15.634848 | 1.741819 | 0.002056 | 3 | 25.615663 | 5.654032 |
| month | 10.988939 | 0.464586 | 0.000298 | 3 | 13.651070 | 8.326809 |
| day | 10.826542 | 0.547731 | 0.000426 | 3 | 13.965101 | 7.687983 |
| season | 2.900745 | 0.341267 | 0.002291 | 3 | 4.856245 | 0.945246 |
| windspeed | 2.874331 | 0.242800 | 0.001185 | 3 | 4.265599 | 1.483063 |
| holiday | 1.269797 | 0.357387 | 0.012702 | 3 | 3.317662 | -0.778068 |
# Remember to set all negative values to zero
predictions_nf = predictor_new_features.predict(test)
predictions_nf[predictions_nf<0] = 0
# Same submitting predictions
submission_new_features = pd.read_csv('sampleSubmission.csv')
submission_new_features["count"] = predictions_nf
submission_new_features.to_csv("submission_new_features.csv", index=False)
!kaggle competitions submit -c bike-sharing-demand -f submission_new_features.csv -m "NF - Model 1 (Basic Time Catogricla data )"
Successfully submitted to Bike Sharing Demand
c:\users\hp\anaconda3\envs\aws deep learning\lib\site-packages\cryptography\hazmat\backends\openssl\x509.py:17: CryptographyDeprecationWarning: This version of cryptography contains a temporary pyOpenSSL fallback path. Upgrade pyOpenSSL now. utils.DeprecatedIn35, 0%| | 0.00/194k [00:00<?, ?B/s] 4%|4 | 8.00k/194k [00:00<00:03, 58.0kB/s] 49%|####9 | 96.0k/194k [00:00<00:00, 469kB/s] 100%|##########| 194k/194k [00:00<00:00, 674kB/s] 100%|##########| 194k/194k [00:02<00:00, 99.0kB/s]
!kaggle competitions submissions -c bike-sharing-demand
fileName date description status publicScore privateScore ----------------------------- ------------------- -------------------------------------------- -------- ----------- ------------ submission_new_features.csv 2021-12-08 11:24:55 NF - Model 1 (Basic Time Catogricla data ) complete 0.50674 0.50674 submission.csv 2021-12-08 11:13:27 first raw submission complete 1.38952 1.38952 submission_new_hpo.csv 2021-12-08 11:06:33 new features with hyperparameters Tune complete 0.48748 0.48748 submission_new_hpo.csv 2021-12-08 09:14:10 new features with hyperparameters Tune complete 0.51858 0.51858 submission_new_hpo_ensV4.csv 2021-12-07 15:02:09 new features with hyperparameters Vקרדןםמ 4 complete 0.48961 0.48961 submission_new_hpo.csv 2021-12-07 14:29:38 new features with hyperparameters Tune complete 0.48338 0.48338 submission_new_featuresV3.csv 2021-12-07 14:00:06 new featuresV3 complete 0.45074 0.45074 submission_new_featuresV2.csv 2021-12-07 13:39:45 new features complete 0.50306 0.50306 submission_new_features.csv 2021-12-07 13:09:48 new features complete 0.51097 0.51097 submission.csv 2021-12-07 13:04:23 first raw submission complete 1.39309 1.39309 submission_new_hpo.csv 2021-12-07 11:12:13 new features with hyperparameters Tune complete 0.45509 0.45509 submission_new_featuresV3.csv 2021-12-07 10:53:43 new featuresV3 complete 0.45057 0.45057 submission_new_featuresV2.csv 2021-12-07 10:43:05 new features complete 0.47595 0.47595 submission_new_featuresV2.csv 2021-12-07 10:42:32 new features error None None submission_new_features.csv 2021-12-07 10:32:26 new features complete 0.50670 0.50670 submission.csv 2021-12-07 10:24:27 first raw submission complete 1.38989 1.38989 submission_new_hpo.csv 2021-12-07 09:08:34 new features with hyperparameters complete 0.46172 0.46172 submission_new_hpo.csv 2021-12-07 08:59:07 new features with hyperparameters complete 0.45760 0.45760 submission_new_features.csv 2021-12-06 20:57:01 new features complete 0.44755 0.44755 submission_new_features.csv 2021-12-06 20:50:18 new features complete 0.44577 0.44577 submission_new_features.csv 2021-12-06 20:45:43 new features complete 0.44592 0.44592 submission_RMSLE.csv 2021-12-06 17:57:57 Custome Eval Metric complete 0.46093 0.46093 submission_RMSLE.csv 2021-12-06 17:46:31 Custome Eval Metric complete 0.46093 0.46093 submission_RMSLE.csv 2021-12-06 17:25:04 Custome Eval Metric complete 0.46093 0.46093 submission_RMSLE.csv 2021-12-06 17:13:44 Custome Eval Metric complete 0.46093 0.46093 submission_new_hpo_ens.csv 2021-12-06 15:59:53 new features with hyperparameters complete 0.44685 0.44685 submission_new_hpo_ens.csv 2021-12-06 15:55:19 new features with hyperparameters complete 0.47243 0.47243 submission_new_hpo_ens.csv 2021-12-06 15:14:56 new features with hyperparameters complete 0.44685 0.44685 submission_new_hpo_ens.csv 2021-12-06 15:11:35 new features with hyperparameters complete 0.47219 0.47219 submission_new_hpo_ens.csv 2021-12-06 15:03:25 new features with hyperparameters complete 0.44685 0.44685 submission_new_hpo.csv 2021-12-06 15:02:29 new features with hyperparameters complete 0.44685 0.44685 submission_new_hpo.csv 2021-12-06 13:32:40 new features with hyperparameters complete 0.44575 0.44575 submission_new_hpo.csv 2021-12-06 12:22:42 new features with hyperparameters complete 0.45943 0.45943 submission_new_hpo.csv 2021-12-06 12:19:40 new features with hyperparameters complete 0.45999 0.45999 submission_new_hpo.csv 2021-12-06 11:38:43 new features with hyperparameters complete 0.49236 0.49236 submission_new_hpo.csv 2021-12-06 11:23:09 new features with hyperparameters complete 0.44575 0.44575 submission_new_hpo.csv 2021-12-06 11:18:36 new features with hyperparameters complete 0.44575 0.44575 submission_new_hpo.csv 2021-12-06 11:13:58 new features with hyperparameters complete 0.46954 0.46954 submission_new_features.csv 2021-12-06 10:58:08 new features complete 0.44585 0.44585 submission_new_hpo.csv 2021-12-06 10:54:45 new features with hyperparameters complete 0.48625 0.48625 submission_new_hpo.csv 2021-12-06 10:39:14 new features with hyperparameters complete 0.49986 0.49986 submission_new_hpo.csv 2021-12-06 10:35:11 new features with hyperparameters complete 0.45109 0.45109 submission_new_features.csv 2021-12-06 09:55:51 new features complete 0.44583 0.44583 submission_new_features.csv 2021-12-04 11:36:34 new features complete 0.47874 0.47874 submission_new_features.csv 2021-12-04 11:32:02 new features complete 0.50538 0.50538 submission_new_features.csv 2021-12-04 11:17:25 new features complete 0.48208 0.48208 submission_new_features.csv 2021-12-04 11:10:20 new features error None None submission_new_features.csv 2021-12-02 10:41:10 new features complete 0.48497 0.48497 submission_new_features.csv 2021-12-02 08:13:40 new features complete 0.53024 0.53024 submission_new_features.csv 2021-12-01 11:21:00 new features complete 0.52819 0.52819
c:\users\hp\anaconda3\envs\aws deep learning\lib\site-packages\cryptography\hazmat\backends\openssl\x509.py:17: CryptographyDeprecationWarning: This version of cryptography contains a temporary pyOpenSSL fallback path. Upgrade pyOpenSSL now. utils.DeprecatedIn35,
#WindSpeed and Humidity do not looks like normal distrbution
# Try Log transfomiation
import numpy as np
df['humidity'] = np.where(train['humidity'] !=0,np.log(train['humidity']),0)
df['windspeed'] = np.where(train['windspeed'] !=0,np.log(train['windspeed']),0)
test_log = test.copy(deep = True)
test_log['humidity'] = np.where(test['humidity'] !=0,np.log(test['humidity']),0)
test_log['windspeed'] = np.where(test['windspeed'] !=0,np.log(test['windspeed']),0)
predictor_new_features_log = TabularPredictor(label="count",eval_metric='root_mean_squared_error').fit(
train_data=df,
time_limit=60,
presets="best_quality"
)
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\pandas\core\series.py:726: RuntimeWarning: divide by zero encountered in log
result = getattr(ufunc, method)(*inputs, **kwargs)
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\pandas\core\series.py:726: RuntimeWarning: divide by zero encountered in log
result = getattr(ufunc, method)(*inputs, **kwargs)
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\pandas\core\series.py:726: RuntimeWarning: divide by zero encountered in log
result = getattr(ufunc, method)(*inputs, **kwargs)
No path specified. Models will be saved in: "AutogluonModels/ag-20211208_120254\"
Presets specified: ['best_quality']
Beginning AutoGluon training ... Time limit = 60s
AutoGluon will save models to "AutogluonModels/ag-20211208_120254\"
AutoGluon Version: 0.3.1
Train Data Rows: 10886
Train Data Columns: 14
Preprocessing data ...
AutoGluon infers your prediction problem is: 'regression' (because dtype of label-column == int and many unique label-values observed).
Label info (max, min, mean, stddev): (977, 1, 191.57413, 181.14445)
If 'regression' is not the correct problem_type, please manually specify the problem_type argument in fit() (You may specify problem_type as one of: ['binary', 'multiclass', 'regression'])
Using Feature Generators to preprocess the data ...
Fitting AutoMLPipelineFeatureGenerator...
Available Memory: 4142.16 MB
Train Data (Original) Memory Usage: 1.35 MB (0.0% of available memory)
Inferring data type of each feature based on column values. Set feature_metadata_in to manually specify special dtypes of the features.
Stage 1 Generators:
Fitting AsTypeFeatureGenerator...
Note: Converting 2 features to boolean dtype as they only contain 2 unique values.
Stage 2 Generators:
Fitting FillNaFeatureGenerator...
Stage 3 Generators:
Fitting IdentityFeatureGenerator...
Fitting CategoryFeatureGenerator...
Fitting CategoryMemoryMinimizeFeatureGenerator...
Fitting DatetimeFeatureGenerator...
Stage 4 Generators:
Fitting DropUniqueFeatureGenerator...
Types of features in original data (raw dtype, special dtypes):
('category', []) : 8 | ['season', 'holiday', 'workingday', 'weather', 'hour', ...]
('datetime', []) : 1 | ['date']
('float', []) : 4 | ['temp', 'atemp', 'humidity', 'windspeed']
('object', ['datetime_as_object']) : 1 | ['datetime']
Types of features in processed data (raw dtype, special dtypes):
('category', []) : 6 | ['season', 'weather', 'hour', 'weekday', 'day', ...]
('float', []) : 4 | ['temp', 'atemp', 'humidity', 'windspeed']
('int', ['bool']) : 2 | ['holiday', 'workingday']
('int', ['datetime_as_int']) : 2 | ['datetime', 'date']
0.2s = Fit runtime
14 features in original data used to generate 14 features in processed data.
Train Data (Processed) Memory Usage: 0.61 MB (0.0% of available memory)
Data preprocessing and feature engineering runtime = 0.19s ...
AutoGluon will gauge predictive performance using evaluation metric: 'root_mean_squared_error'
To change this, specify the eval_metric argument of fit()
AutoGluon will fit 2 stack levels (L1 to L2) ...
Fitting 11 L1 models ...
Fitting model: KNeighborsUnif_BAG_L1 ... Training model for up to 39.86s of the 59.8s of remaining time.
-165.4016 = Validation score (root_mean_squared_error)
0.03s = Training runtime
0.11s = Validation runtime
Fitting model: KNeighborsDist_BAG_L1 ... Training model for up to 39.58s of the 59.52s of remaining time.
-179.7883 = Validation score (root_mean_squared_error)
0.03s = Training runtime
0.11s = Validation runtime
Fitting model: LightGBMXT_BAG_L1 ... Training model for up to 39.31s of the 59.25s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000] train_set's rmse: 20.0349 valid_set's rmse: 33.0906
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000] train_set's rmse: 20.0109 valid_set's rmse: 37.3011 [2000] train_set's rmse: 14.346 valid_set's rmse: 36.4372 [3000] train_set's rmse: 10.9277 valid_set's rmse: 36.1671
Ran out of time, early stopping on iteration 3516. Best iteration is:
[3413] train_set's rmse: 9.87616 valid_set's rmse: 36.1206
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000] train_set's rmse: 19.9945 valid_set's rmse: 30.9504
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000] train_set's rmse: 19.8095 valid_set's rmse: 36.0766 [2000] train_set's rmse: 14.2079 valid_set's rmse: 35.7016
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000] train_set's rmse: 19.9756 valid_set's rmse: 35.7323 [2000] train_set's rmse: 14.2133 valid_set's rmse: 35.0161 [3000] train_set's rmse: 10.8298 valid_set's rmse: 34.7197
Ran out of time, early stopping on iteration 3852. Best iteration is:
[3845] train_set's rmse: 8.84069 valid_set's rmse: 34.6166
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000] train_set's rmse: 19.7593 valid_set's rmse: 37.451 [2000] train_set's rmse: 14.2066 valid_set's rmse: 37.1562
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000] train_set's rmse: 20.0367 valid_set's rmse: 33.9869 [2000] train_set's rmse: 14.292 valid_set's rmse: 33.5375
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000] train_set's rmse: 20.0505 valid_set's rmse: 37.3398 [2000] train_set's rmse: 14.4084 valid_set's rmse: 36.7304 [3000] train_set's rmse: 11.0132 valid_set's rmse: 36.5665 [4000] train_set's rmse: 8.66953 valid_set's rmse: 36.4833
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
-34.4777 = Validation score (root_mean_squared_error)
27.02s = Training runtime
2.23s = Validation runtime
Fitting model: LightGBM_BAG_L1 ... Training model for up to 7.11s of the 27.05s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
Ran out of time, early stopping on iteration 412. Best iteration is:
[412] train_set's rmse: 22.4457 valid_set's rmse: 33.9126
Time limit exceeded... Skipping LightGBM_BAG_L1.
Fitting model: RandomForestMSE_BAG_L1 ... Training model for up to 6.36s of the 26.3s of remaining time.
-38.3971 = Validation score (root_mean_squared_error)
4.49s = Training runtime
0.38s = Validation runtime
Fitting model: CatBoost_BAG_L1 ... Training model for up to 0.07s of the 20.01s of remaining time.
Time limit exceeded... Skipping CatBoost_BAG_L1.
Fitting model: ExtraTreesMSE_BAG_L1 ... Training model for up to 0.02s of the 19.96s of remaining time.
-38.1934 = Validation score (root_mean_squared_error)
1.99s = Training runtime
0.38s = Validation runtime
Completed 1/20 k-fold bagging repeats ...
Fitting model: WeightedEnsemble_L2 ... Training model for up to 59.81s of the 16.15s of remaining time.
-33.6152 = Validation score (root_mean_squared_error)
0.35s = Training runtime
0.0s = Validation runtime
Fitting 9 L2 models ...
Fitting model: LightGBMXT_BAG_L2 ... Training model for up to 15.78s of the 15.77s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
-34.949 = Validation score (root_mean_squared_error)
7.75s = Training runtime
0.31s = Validation runtime
Fitting model: LightGBM_BAG_L2 ... Training model for up to 7.23s of the 7.22s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
-33.9824 = Validation score (root_mean_squared_error)
4.97s = Training runtime
0.15s = Validation runtime
Fitting model: RandomForestMSE_BAG_L2 ... Training model for up to 2.0s of the 1.99s of remaining time.
-34.6153 = Validation score (root_mean_squared_error)
7.62s = Training runtime
0.54s = Validation runtime
Completed 1/20 k-fold bagging repeats ...
Fitting model: WeightedEnsemble_L3 ... Training model for up to 59.81s of the -7.57s of remaining time.
-33.7828 = Validation score (root_mean_squared_error)
0.23s = Training runtime
0.0s = Validation runtime
AutoGluon training complete, total runtime = 67.83s ...
TabularPredictor saved. To load, use: predictor = TabularPredictor.load("AutogluonModels/ag-20211208_120254\")
#check the dist after the transformation
df.hist("humidity")
df.hist("windspeed")
array([[<matplotlib.axes._subplots.AxesSubplot object at 0x000002083ACF5518>]],
dtype=object)
predictor_new_features_log.leaderboard(df, silent=True)
| model | score_test | score_val | pred_time_test | pred_time_val | fit_time | pred_time_test_marginal | pred_time_val_marginal | fit_time_marginal | stack_level | can_infer | fit_order | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | WeightedEnsemble_L3 | -13.886557 | -33.782797 | 25.962895 | 4.207922 | 54.143911 | 0.007994 | 0.001000 | 0.234878 | 3 | True | 10 |
| 1 | LightGBM_BAG_L2 | -14.055400 | -33.982358 | 23.336702 | 3.356391 | 38.533814 | 0.552681 | 0.146912 | 4.965160 | 2 | True | 8 |
| 2 | ExtraTreesMSE_BAG_L1 | -14.068774 | -38.193369 | 0.622889 | 0.375784 | 1.992852 | 0.622889 | 0.375784 | 1.992852 | 1 | True | 5 |
| 3 | RandomForestMSE_BAG_L1 | -14.150597 | -38.397120 | 0.547840 | 0.378769 | 4.485416 | 0.547840 | 0.378769 | 4.485416 | 1 | True | 4 |
| 4 | LightGBMXT_BAG_L2 | -14.526568 | -34.948988 | 24.865172 | 3.519319 | 41.320181 | 2.081151 | 0.309839 | 7.751527 | 2 | True | 7 |
| 5 | WeightedEnsemble_L2 | -14.772862 | -33.615160 | 22.535855 | 2.983355 | 33.852499 | 0.007997 | 0.001000 | 0.349798 | 2 | True | 6 |
| 6 | RandomForestMSE_BAG_L2 | -15.663307 | -34.615328 | 23.321068 | 3.750170 | 41.192347 | 0.537048 | 0.540691 | 7.623692 | 2 | True | 9 |
| 7 | LightGBMXT_BAG_L1 | -16.337520 | -34.477709 | 21.357129 | 2.227803 | 27.024433 | 21.357129 | 2.227803 | 27.024433 | 1 | True | 3 |
| 8 | KNeighborsDist_BAG_L1 | -107.886008 | -179.788349 | 0.131027 | 0.113635 | 0.032972 | 0.131027 | 0.113635 | 0.032972 | 1 | True | 2 |
| 9 | KNeighborsUnif_BAG_L1 | -137.078940 | -165.401563 | 0.125135 | 0.113488 | 0.032981 | 0.125135 | 0.113488 | 0.032981 | 1 | True | 1 |
# Remember to set all negative values to zero
predictions_log = predictor_new_features_log.predict(test_log)
predictions_log[predictions_log<0] = 0
# Same submitting predictions
submission_new_features = pd.read_csv('sampleSubmission.csv')
submission_new_features["count"] = predictions_log
submission_new_features.to_csv("submission_new_features_log.csv", index=False)
!kaggle competitions submit -c bike-sharing-demand -f submission_new_features_log.csv -m "NF - Model 2 (Basic Log Transform )"
!kaggle competitions submissions -c bike-sharing-demand
Successfully submitted to Bike Sharing Demand
c:\users\hp\anaconda3\envs\aws deep learning\lib\site-packages\cryptography\hazmat\backends\openssl\x509.py:17: CryptographyDeprecationWarning: This version of cryptography contains a temporary pyOpenSSL fallback path. Upgrade pyOpenSSL now. utils.DeprecatedIn35, 0%| | 0.00/194k [00:00<?, ?B/s] 4%|4 | 8.00k/194k [00:00<00:03, 54.1kB/s] 49%|####9 | 96.0k/194k [00:00<00:00, 448kB/s] 100%|##########| 194k/194k [00:00<00:00, 650kB/s] 100%|##########| 194k/194k [00:01<00:00, 120kB/s]
fileName date description status publicScore privateScore ------------------------------- ------------------- -------------------------------------------- -------- ----------- ------------ submission_new_features_log.csv 2021-12-08 12:07:08 NF - Model 2 (Basic Log Transform ) complete 0.50789 0.50789 submission_new_features_log.csv 2021-12-08 12:06:06 NF - Model 2 (Basic Log Transform ) complete 0.50674 0.50674 submission_new_features_log.csv 2021-12-08 11:34:53 NF - Model 2 (Basic Log Transform ) complete 0.50674 0.50674 submission_new_features.csv 2021-12-08 11:24:55 NF - Model 1 (Basic Time Catogricla data ) complete 0.50674 0.50674 submission.csv 2021-12-08 11:13:27 first raw submission complete 1.38952 1.38952 submission_new_hpo.csv 2021-12-08 11:06:33 new features with hyperparameters Tune complete 0.48748 0.48748 submission_new_hpo.csv 2021-12-08 09:14:10 new features with hyperparameters Tune complete 0.51858 0.51858 submission_new_hpo_ensV4.csv 2021-12-07 15:02:09 new features with hyperparameters Vקרדןםמ 4 complete 0.48961 0.48961 submission_new_hpo.csv 2021-12-07 14:29:38 new features with hyperparameters Tune complete 0.48338 0.48338 submission_new_featuresV3.csv 2021-12-07 14:00:06 new featuresV3 complete 0.45074 0.45074 submission_new_featuresV2.csv 2021-12-07 13:39:45 new features complete 0.50306 0.50306 submission_new_features.csv 2021-12-07 13:09:48 new features complete 0.51097 0.51097 submission.csv 2021-12-07 13:04:23 first raw submission complete 1.39309 1.39309 submission_new_hpo.csv 2021-12-07 11:12:13 new features with hyperparameters Tune complete 0.45509 0.45509 submission_new_featuresV3.csv 2021-12-07 10:53:43 new featuresV3 complete 0.45057 0.45057 submission_new_featuresV2.csv 2021-12-07 10:43:05 new features complete 0.47595 0.47595 submission_new_featuresV2.csv 2021-12-07 10:42:32 new features error None None submission_new_features.csv 2021-12-07 10:32:26 new features complete 0.50670 0.50670 submission.csv 2021-12-07 10:24:27 first raw submission complete 1.38989 1.38989 submission_new_hpo.csv 2021-12-07 09:08:34 new features with hyperparameters complete 0.46172 0.46172 submission_new_hpo.csv 2021-12-07 08:59:07 new features with hyperparameters complete 0.45760 0.45760 submission_new_features.csv 2021-12-06 20:57:01 new features complete 0.44755 0.44755 submission_new_features.csv 2021-12-06 20:50:18 new features complete 0.44577 0.44577 submission_new_features.csv 2021-12-06 20:45:43 new features complete 0.44592 0.44592 submission_RMSLE.csv 2021-12-06 17:57:57 Custome Eval Metric complete 0.46093 0.46093 submission_RMSLE.csv 2021-12-06 17:46:31 Custome Eval Metric complete 0.46093 0.46093 submission_RMSLE.csv 2021-12-06 17:25:04 Custome Eval Metric complete 0.46093 0.46093 submission_RMSLE.csv 2021-12-06 17:13:44 Custome Eval Metric complete 0.46093 0.46093 submission_new_hpo_ens.csv 2021-12-06 15:59:53 new features with hyperparameters complete 0.44685 0.44685 submission_new_hpo_ens.csv 2021-12-06 15:55:19 new features with hyperparameters complete 0.47243 0.47243 submission_new_hpo_ens.csv 2021-12-06 15:14:56 new features with hyperparameters complete 0.44685 0.44685 submission_new_hpo_ens.csv 2021-12-06 15:11:35 new features with hyperparameters complete 0.47219 0.47219 submission_new_hpo_ens.csv 2021-12-06 15:03:25 new features with hyperparameters complete 0.44685 0.44685 submission_new_hpo.csv 2021-12-06 15:02:29 new features with hyperparameters complete 0.44685 0.44685 submission_new_hpo.csv 2021-12-06 13:32:40 new features with hyperparameters complete 0.44575 0.44575 submission_new_hpo.csv 2021-12-06 12:22:42 new features with hyperparameters complete 0.45943 0.45943 submission_new_hpo.csv 2021-12-06 12:19:40 new features with hyperparameters complete 0.45999 0.45999 submission_new_hpo.csv 2021-12-06 11:38:43 new features with hyperparameters complete 0.49236 0.49236 submission_new_hpo.csv 2021-12-06 11:23:09 new features with hyperparameters complete 0.44575 0.44575 submission_new_hpo.csv 2021-12-06 11:18:36 new features with hyperparameters complete 0.44575 0.44575 submission_new_hpo.csv 2021-12-06 11:13:58 new features with hyperparameters complete 0.46954 0.46954 submission_new_features.csv 2021-12-06 10:58:08 new features complete 0.44585 0.44585 submission_new_hpo.csv 2021-12-06 10:54:45 new features with hyperparameters complete 0.48625 0.48625 submission_new_hpo.csv 2021-12-06 10:39:14 new features with hyperparameters complete 0.49986 0.49986 submission_new_hpo.csv 2021-12-06 10:35:11 new features with hyperparameters complete 0.45109 0.45109 submission_new_features.csv 2021-12-06 09:55:51 new features complete 0.44583 0.44583 submission_new_features.csv 2021-12-04 11:36:34 new features complete 0.47874 0.47874 submission_new_features.csv 2021-12-04 11:32:02 new features complete 0.50538 0.50538 submission_new_features.csv 2021-12-04 11:17:25 new features complete 0.48208 0.48208 submission_new_features.csv 2021-12-04 11:10:20 new features error None None
c:\users\hp\anaconda3\envs\aws deep learning\lib\site-packages\cryptography\hazmat\backends\openssl\x509.py:17: CryptographyDeprecationWarning: This version of cryptography contains a temporary pyOpenSSL fallback path. Upgrade pyOpenSSL now. utils.DeprecatedIn35,
# Add the predictions to test (as count )
# Mark train and test rows to be able to split later on
#Combine train and test for on data frame , to create the Demand Time series features
train['data']= 'train'
test['data'] = 'test'
test['count'] = predictions_nf
raw = pd.concat([train,test])
raw = raw.drop(['casual','registered'],axis=1)
raw.head()
| datetime | season | holiday | workingday | weather | temp | atemp | humidity | windspeed | count | date | hour | weekday | day | month | data | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 2011-01-01 00:00:00 | 1 | 0 | 0 | 1 | 9.84 | 14.395 | 81 | 0.0 | 16.0 | 2011-01-01 00:00:00 | 0 | 5 | 1 | 1 | train |
| 1 | 2011-01-01 01:00:00 | 1 | 0 | 0 | 1 | 9.02 | 13.635 | 80 | 0.0 | 40.0 | 2011-01-01 01:00:00 | 1 | 5 | 1 | 1 | train |
| 2 | 2011-01-01 02:00:00 | 1 | 0 | 0 | 1 | 9.02 | 13.635 | 80 | 0.0 | 32.0 | 2011-01-01 02:00:00 | 2 | 5 | 1 | 1 | train |
| 3 | 2011-01-01 03:00:00 | 1 | 0 | 0 | 1 | 9.84 | 14.395 | 75 | 0.0 | 13.0 | 2011-01-01 03:00:00 | 3 | 5 | 1 | 1 | train |
| 4 | 2011-01-01 04:00:00 | 1 | 0 | 0 | 1 | 9.84 | 14.395 | 75 | 0.0 | 1.0 | 2011-01-01 04:00:00 | 4 | 5 | 1 | 1 | train |
#The first set of Time series features will shift features
#raw.sort_values(by = ['hour','datetime'],inplace=True)
raw.datetime = pd.to_datetime(raw.datetime)
raw.index = raw.datetime
raw.head()
| datetime | season | holiday | workingday | weather | temp | atemp | humidity | windspeed | count | date | hour | weekday | day | month | data | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| datetime | ||||||||||||||||
| 2011-01-01 00:00:00 | 2011-01-01 00:00:00 | 1 | 0 | 0 | 1 | 9.84 | 14.395 | 81 | 0.0 | 16.0 | 2011-01-01 00:00:00 | 0 | 5 | 1 | 1 | train |
| 2011-01-01 01:00:00 | 2011-01-01 01:00:00 | 1 | 0 | 0 | 1 | 9.02 | 13.635 | 80 | 0.0 | 40.0 | 2011-01-01 01:00:00 | 1 | 5 | 1 | 1 | train |
| 2011-01-01 02:00:00 | 2011-01-01 02:00:00 | 1 | 0 | 0 | 1 | 9.02 | 13.635 | 80 | 0.0 | 32.0 | 2011-01-01 02:00:00 | 2 | 5 | 1 | 1 | train |
| 2011-01-01 03:00:00 | 2011-01-01 03:00:00 | 1 | 0 | 0 | 1 | 9.84 | 14.395 | 75 | 0.0 | 13.0 | 2011-01-01 03:00:00 | 3 | 5 | 1 | 1 | train |
| 2011-01-01 04:00:00 | 2011-01-01 04:00:00 | 1 | 0 | 0 | 1 | 9.84 | 14.395 | 75 | 0.0 | 1.0 | 2011-01-01 04:00:00 | 4 | 5 | 1 | 1 | train |
#Shift features
raw["shift_1"] = raw['count'].shift(1, freq='D')
raw["shift_2"] = raw['count'].shift(1, freq='2D')
raw["shift_7"] = raw['count'].shift(1, freq='7D')
raw["shift_30"] = raw['count'].shift(1, freq='30D')
demnad_data = raw[['date','count',"shift_1","shift_2","shift_7","shift_30"]].copy(deep = True)
#demnad_data.reset_index(inplace = True)
demnad_data.sort_values(by = ['date'],inplace=True)
demnad_data.index = demnad_data.date
fig, axs = plt.subplots(3, 1, figsize=(60, 70))
axs = axs.flatten()
ax_idx = 0
fig.tight_layout(pad=10)
fig.subplots_adjust(hspace=1)
#demnad_data.index = demnad_data['date']
#Plot a shifted example to verify the shift
ax = demnad_data[demnad_data['date']<'2011-01-2']['count'].plot(figsize=(30, 20),fontsize = 22,color = 'black',ax=axs[0])
ax = demnad_data[demnad_data['date']<'2011-01-3']['shift_1'].plot(figsize=(40, 20),fontsize = 22,color = 'red',ax=axs[0])
ax.set_title("Shift By one Day", fontdict={'fontsize': 40, 'fontweight': 'medium'})
ax.legend(fontsize = 30)
ax = demnad_data[demnad_data['date']<'2011-01-7']['count'].plot(figsize=(30, 20),fontsize = 22,color = 'black',ax=axs[1])
ax = demnad_data[demnad_data['date']<'2011-01-14']['shift_7'].plot(figsize=(40, 20),fontsize = 22,color = 'red',ax=axs[1])
ax.set_title("Shift By Week", fontdict={'fontsize': 40, 'fontweight': 'medium'})
ax.legend(fontsize = 30)
ax = demnad_data[demnad_data['date']<'2011-01-30']['count'].plot(figsize=(30, 20),fontsize = 22,color = 'black',ax=axs[2])
ax = demnad_data[demnad_data['date']<'2011-02-28']['shift_30'].plot(figsize=(40, 20),fontsize = 22,color = 'red',ax=axs[2])
ax.set_title("Shift By a Month ", fontdict={'fontsize': 40, 'fontweight': 'medium'})
ax.legend(fontsize = 30)
<matplotlib.legend.Legend at 0x29743ae1048>
raw.reset_index(inplace=True,drop=True)
train = raw[raw['data']=='train'].copy(deep=True)
test = raw[raw['data']=='test'].copy(deep=True)
test.reset_index(inplace=True,drop=True)
train.drop(['data'],axis=1,inplace =True)
test.drop(['data'],axis=1,inplace =True)
categorical_features = ["hour","day","month","season","weather","holiday","workingday","weekday"]
for items in categorical_features:
train[items] = train[items].astype("category")
test[items] = test[items].astype("category")
test.head()
| datetime | season | holiday | workingday | weather | temp | atemp | humidity | windspeed | count | date | hour | weekday | day | month | shift_1 | shift_2 | shift_7 | shift_30 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 2011-01-20 00:00:00 | 1 | 0 | 1 | 1 | 10.66 | 11.365 | 56 | 26.0027 | 14.320465 | 2011-01-20 00:00:00 | 0 | 3 | 20 | 1 | 3.0 | NaN | 7.0 | NaN |
| 1 | 2011-01-20 01:00:00 | 1 | 0 | 1 | 1 | 10.66 | 13.635 | 56 | 0.0000 | 3.275934 | 2011-01-20 01:00:00 | 1 | 3 | 20 | 1 | 7.0 | NaN | 2.0 | NaN |
| 2 | 2011-01-20 02:00:00 | 1 | 0 | 1 | 1 | 10.66 | 13.635 | 56 | 0.0000 | 1.362249 | 2011-01-20 02:00:00 | 2 | 3 | 20 | 1 | 3.0 | NaN | 2.0 | NaN |
| 3 | 2011-01-20 03:00:00 | 1 | 0 | 1 | 1 | 10.66 | 12.880 | 56 | 11.0014 | 2.759369 | 2011-01-20 03:00:00 | 3 | 3 | 20 | 1 | NaN | NaN | 3.0 | NaN |
| 4 | 2011-01-20 04:00:00 | 1 | 0 | 1 | 1 | 10.66 | 12.880 | 56 | 11.0014 | 2.614722 | 2011-01-20 04:00:00 | 4 | 3 | 20 | 1 | 2.0 | NaN | 4.0 | NaN |
predictor_new_features_advnced1 = TabularPredictor(label="count",eval_metric='root_mean_squared_error').fit(
train_data=train,
time_limit=60,
presets="best_quality"
)
No path specified. Models will be saved in: "AutogluonModels/ag-20211208_121656\"
Presets specified: ['best_quality']
Beginning AutoGluon training ... Time limit = 60s
AutoGluon will save models to "AutogluonModels/ag-20211208_121656\"
AutoGluon Version: 0.3.1
Train Data Rows: 10886
Train Data Columns: 18
Preprocessing data ...
AutoGluon infers your prediction problem is: 'regression' (because dtype of label-column == float and many unique label-values observed).
Label info (max, min, mean, stddev): (977.0, 1.0, 191.57413, 181.14445)
If 'regression' is not the correct problem_type, please manually specify the problem_type argument in fit() (You may specify problem_type as one of: ['binary', 'multiclass', 'regression'])
Using Feature Generators to preprocess the data ...
Fitting AutoMLPipelineFeatureGenerator...
Available Memory: 4112.71 MB
Train Data (Original) Memory Usage: 0.96 MB (0.0% of available memory)
Inferring data type of each feature based on column values. Set feature_metadata_in to manually specify special dtypes of the features.
Stage 1 Generators:
Fitting AsTypeFeatureGenerator...
Note: Converting 2 features to boolean dtype as they only contain 2 unique values.
Stage 2 Generators:
Fitting FillNaFeatureGenerator...
Stage 3 Generators:
Fitting IdentityFeatureGenerator...
Fitting CategoryFeatureGenerator...
Fitting CategoryMemoryMinimizeFeatureGenerator...
Fitting DatetimeFeatureGenerator...
Stage 4 Generators:
Fitting DropUniqueFeatureGenerator...
Types of features in original data (raw dtype, special dtypes):
('category', []) : 8 | ['season', 'holiday', 'workingday', 'weather', 'hour', ...]
('datetime', []) : 2 | ['datetime', 'date']
('float', []) : 7 | ['temp', 'atemp', 'windspeed', 'shift_1', 'shift_2', ...]
('int', []) : 1 | ['humidity']
Types of features in processed data (raw dtype, special dtypes):
('category', []) : 6 | ['season', 'weather', 'hour', 'weekday', 'day', ...]
('float', []) : 7 | ['temp', 'atemp', 'windspeed', 'shift_1', 'shift_2', ...]
('int', []) : 1 | ['humidity']
('int', ['bool']) : 2 | ['holiday', 'workingday']
('int', ['datetime_as_int']) : 2 | ['datetime', 'date']
0.4s = Fit runtime
18 features in original data used to generate 18 features in processed data.
Train Data (Processed) Memory Usage: 0.96 MB (0.0% of available memory)
Data preprocessing and feature engineering runtime = 0.42s ...
AutoGluon will gauge predictive performance using evaluation metric: 'root_mean_squared_error'
To change this, specify the eval_metric argument of fit()
AutoGluon will fit 2 stack levels (L1 to L2) ...
Fitting 11 L1 models ...
Fitting model: KNeighborsUnif_BAG_L1 ... Training model for up to 39.71s of the 59.57s of remaining time.
-72.6859 = Validation score (root_mean_squared_error)
0.06s = Training runtime
0.11s = Validation runtime
Fitting model: KNeighborsDist_BAG_L1 ... Training model for up to 39.39s of the 59.26s of remaining time.
-72.135 = Validation score (root_mean_squared_error)
0.06s = Training runtime
0.11s = Validation runtime
Fitting model: LightGBMXT_BAG_L1 ... Training model for up to 39.08s of the 58.95s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000] train_set's rmse: 18.4735 valid_set's rmse: 33.5858 [2000] train_set's rmse: 12.2684 valid_set's rmse: 32.9556
Ran out of time, early stopping on iteration 2350. Best iteration is:
[2228] train_set's rmse: 11.3215 valid_set's rmse: 32.865
Time limit exceeded... Skipping LightGBMXT_BAG_L1.
Fitting model: LightGBM_BAG_L1 ... Training model for up to 34.99s of the 54.85s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000] train_set's rmse: 11.8513 valid_set's rmse: 37.8223
Ran out of time, early stopping on iteration 1751. Best iteration is:
[1693] train_set's rmse: 7.08644 valid_set's rmse: 37.4643
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000] train_set's rmse: 11.8429 valid_set's rmse: 39.953
Ran out of time, early stopping on iteration 1848. Best iteration is:
[1678] train_set's rmse: 7.09089 valid_set's rmse: 39.3845
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000] train_set's rmse: 11.9154 valid_set's rmse: 33.991
Ran out of time, early stopping on iteration 1756. Best iteration is:
[1754] train_set's rmse: 6.73913 valid_set's rmse: 33.6333
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000] train_set's rmse: 11.9578 valid_set's rmse: 38.9479
Ran out of time, early stopping on iteration 1864. Best iteration is:
[1840] train_set's rmse: 6.3337 valid_set's rmse: 38.812
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000] train_set's rmse: 11.8915 valid_set's rmse: 37.7805
Ran out of time, early stopping on iteration 1951. Best iteration is:
[1925] train_set's rmse: 5.99801 valid_set's rmse: 37.3201
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000] train_set's rmse: 11.6245 valid_set's rmse: 43.5617
Ran out of time, early stopping on iteration 1859. Best iteration is:
[1803] train_set's rmse: 6.43973 valid_set's rmse: 43.2256
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000] train_set's rmse: 11.8943 valid_set's rmse: 37.4906
Ran out of time, early stopping on iteration 1887. Best iteration is:
[1874] train_set's rmse: 6.27735 valid_set's rmse: 37.128
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000] train_set's rmse: 11.8519 valid_set's rmse: 36.727
Ran out of time, early stopping on iteration 2014. Best iteration is: [2014] train_set's rmse: 5.57978 valid_set's rmse: 36.2703
[2000] train_set's rmse: 5.6272 valid_set's rmse: 36.2716
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000] train_set's rmse: 12.0288 valid_set's rmse: 42.357
Ran out of time, early stopping on iteration 2118. Best iteration is: [1852] train_set's rmse: 6.50221 valid_set's rmse: 41.8659
[2000] train_set's rmse: 5.91355 valid_set's rmse: 41.8868
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000] train_set's rmse: 11.7975 valid_set's rmse: 36.735 [2000] train_set's rmse: 5.70617 valid_set's rmse: 36.4428
Ran out of time, early stopping on iteration 2143. Best iteration is:
[1970] train_set's rmse: 5.83681 valid_set's rmse: 36.424
-38.2454 = Validation score (root_mean_squared_error)
31.41s = Training runtime
1.14s = Validation runtime
Completed 1/20 k-fold bagging repeats ...
Fitting model: WeightedEnsemble_L2 ... Training model for up to 59.58s of the 19.75s of remaining time.
-38.2454 = Validation score (root_mean_squared_error)
0.25s = Training runtime
0.0s = Validation runtime
Fitting 9 L2 models ...
Fitting model: LightGBMXT_BAG_L2 ... Training model for up to 19.49s of the 19.48s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000] train_set's rmse: 19.3527 valid_set's rmse: 35.9711
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
-38.2026 = Validation score (root_mean_squared_error)
11.74s = Training runtime
0.46s = Validation runtime
Fitting model: LightGBM_BAG_L2 ... Training model for up to 6.55s of the 6.54s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
-38.9123 = Validation score (root_mean_squared_error)
5.41s = Training runtime
0.14s = Validation runtime
Fitting model: RandomForestMSE_BAG_L2 ... Training model for up to 0.9s of the 0.89s of remaining time.
-39.0928 = Validation score (root_mean_squared_error)
9.46s = Training runtime
0.5s = Validation runtime
Completed 1/20 k-fold bagging repeats ...
Fitting model: WeightedEnsemble_L3 ... Training model for up to 59.58s of the -10.49s of remaining time.
-37.668 = Validation score (root_mean_squared_error)
0.22s = Training runtime
0.0s = Validation runtime
AutoGluon training complete, total runtime = 70.74s ...
TabularPredictor saved. To load, use: predictor = TabularPredictor.load("AutogluonModels/ag-20211208_121656\")
predictor_new_features_advnced1.leaderboard(train, silent=True)
| model | score_test | score_val | pred_time_test | pred_time_val | fit_time | pred_time_test_marginal | pred_time_val_marginal | fit_time_marginal | stack_level | can_infer | fit_order | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KNeighborsDist_BAG_L1 | -0.283889 | -72.135046 | 0.127982 | 0.112256 | 0.061965 | 0.127982 | 0.112256 | 0.061965 | 1 | True | 2 |
| 1 | LightGBM_BAG_L1 | -8.646669 | -38.245361 | 10.174142 | 1.136365 | 31.409857 | 10.174142 | 1.136365 | 31.409857 | 1 | True | 3 |
| 2 | WeightedEnsemble_L2 | -8.646669 | -38.245361 | 10.182119 | 1.136365 | 31.659730 | 0.007977 | 0.000000 | 0.249873 | 2 | True | 4 |
| 3 | WeightedEnsemble_L3 | -11.524802 | -37.668018 | 15.240383 | 2.450974 | 58.355911 | 0.007996 | 0.000999 | 0.223883 | 3 | True | 8 |
| 4 | LightGBM_BAG_L2 | -11.645646 | -38.912343 | 10.909840 | 1.497464 | 36.941634 | 0.482703 | 0.136920 | 5.409848 | 2 | True | 6 |
| 5 | LightGBMXT_BAG_L2 | -12.640081 | -38.202572 | 14.047070 | 1.816336 | 43.267025 | 3.619934 | 0.455793 | 11.735239 | 2 | True | 5 |
| 6 | RandomForestMSE_BAG_L2 | -13.324610 | -39.092819 | 11.129750 | 1.857261 | 40.986941 | 0.702614 | 0.496718 | 9.455155 | 2 | True | 7 |
| 7 | KNeighborsUnif_BAG_L1 | -58.788918 | -72.685921 | 0.125013 | 0.111923 | 0.059965 | 0.125013 | 0.111923 | 0.059965 | 1 | True | 1 |
predictor_new_features_advnced1.feature_importance(data=train)
Computing feature importance via permutation shuffling for 18 features using 1000 rows with 3 shuffle sets... 96.42s = Expected runtime (32.14s per shuffle set) 14.41s = Actual runtime (Completed 3 of 3 shuffle sets)
| importance | stddev | p_value | n | p99_high | p99_low | |
|---|---|---|---|---|---|---|
| shift_7 | 128.675816 | 3.843351 | 0.000149 | 3 | 150.698641 | 106.652991 |
| shift_1 | 80.366382 | 3.466760 | 0.000310 | 3 | 100.231302 | 60.501462 |
| hour | 36.030048 | 1.055016 | 0.000143 | 3 | 42.075406 | 29.984691 |
| weather | 23.518991 | 1.156033 | 0.000402 | 3 | 30.143185 | 16.894796 |
| workingday | 21.823440 | 3.372230 | 0.003933 | 3 | 41.146692 | 2.500187 |
| humidity | 10.719177 | 0.788247 | 0.000899 | 3 | 15.235921 | 6.202433 |
| weekday | 8.899389 | 0.645688 | 0.000875 | 3 | 12.599252 | 5.199525 |
| shift_2 | 7.893582 | 1.298439 | 0.004450 | 3 | 15.333783 | 0.453382 |
| shift_30 | 6.884801 | 2.185347 | 0.015991 | 3 | 19.407082 | -5.637480 |
| holiday | 6.084657 | 3.805140 | 0.054692 | 3 | 27.888529 | -15.719214 |
| atemp | 3.967531 | 0.862529 | 0.007696 | 3 | 8.909920 | -0.974859 |
| temp | 3.872622 | 0.945149 | 0.009641 | 3 | 9.288429 | -1.543186 |
| datetime | 3.251437 | 0.468886 | 0.003430 | 3 | 5.938207 | 0.564666 |
| day | 3.176005 | 1.014712 | 0.016191 | 3 | 8.990417 | -2.638407 |
| season | 2.909107 | 0.496893 | 0.004793 | 3 | 5.756359 | 0.061854 |
| date | 2.808964 | 0.576545 | 0.006877 | 3 | 6.112631 | -0.494703 |
| month | 2.265374 | 0.185249 | 0.001111 | 3 | 3.326871 | 1.203877 |
| windspeed | 2.102785 | 0.443802 | 0.007263 | 3 | 4.645819 | -0.440249 |
predictor_new_features_advnced1.fit_summary()
*** Summary of fit() ***
Estimated performance of each model:
model score_val pred_time_val fit_time pred_time_val_marginal fit_time_marginal stack_level can_infer fit_order
0 WeightedEnsemble_L3 -37.668018 2.450974 58.355911 0.000999 0.223883 3 True 8
1 LightGBMXT_BAG_L2 -38.202572 1.816336 43.267025 0.455793 11.735239 2 True 5
2 WeightedEnsemble_L2 -38.245361 1.136365 31.659730 0.000000 0.249873 2 True 4
3 LightGBM_BAG_L1 -38.245361 1.136365 31.409857 1.136365 31.409857 1 True 3
4 LightGBM_BAG_L2 -38.912343 1.497464 36.941634 0.136920 5.409848 2 True 6
5 RandomForestMSE_BAG_L2 -39.092819 1.857261 40.986941 0.496718 9.455155 2 True 7
6 KNeighborsDist_BAG_L1 -72.135046 0.112256 0.061965 0.112256 0.061965 1 True 2
7 KNeighborsUnif_BAG_L1 -72.685921 0.111923 0.059965 0.111923 0.059965 1 True 1
Number of models trained: 8
Types of models trained:
{'StackerEnsembleModel_RF', 'StackerEnsembleModel_LGB', 'StackerEnsembleModel_KNN', 'WeightedEnsembleModel'}
Bagging used: True (with 10 folds)
Multi-layer stack-ensembling used: True (with 3 levels)
Feature Metadata (Processed):
(raw dtype, special dtypes):
('category', []) : 6 | ['season', 'weather', 'hour', 'weekday', 'day', ...]
('float', []) : 7 | ['temp', 'atemp', 'windspeed', 'shift_1', 'shift_2', ...]
('int', []) : 1 | ['humidity']
('int', ['bool']) : 2 | ['holiday', 'workingday']
('int', ['datetime_as_int']) : 2 | ['datetime', 'date']
Plot summary of models saved to file: AutogluonModels/ag-20211208_121656\SummaryOfModels.html
*** End of fit() summary ***
{'model_types': {'KNeighborsUnif_BAG_L1': 'StackerEnsembleModel_KNN',
'KNeighborsDist_BAG_L1': 'StackerEnsembleModel_KNN',
'LightGBM_BAG_L1': 'StackerEnsembleModel_LGB',
'WeightedEnsemble_L2': 'WeightedEnsembleModel',
'LightGBMXT_BAG_L2': 'StackerEnsembleModel_LGB',
'LightGBM_BAG_L2': 'StackerEnsembleModel_LGB',
'RandomForestMSE_BAG_L2': 'StackerEnsembleModel_RF',
'WeightedEnsemble_L3': 'WeightedEnsembleModel'},
'model_performance': {'KNeighborsUnif_BAG_L1': -72.68592140879569,
'KNeighborsDist_BAG_L1': -72.13504591728454,
'LightGBM_BAG_L1': -38.24536147209494,
'WeightedEnsemble_L2': -38.24536147209494,
'LightGBMXT_BAG_L2': -38.202572338952905,
'LightGBM_BAG_L2': -38.91234325157726,
'RandomForestMSE_BAG_L2': -39.09281852368373,
'WeightedEnsemble_L3': -37.66801834297829},
'model_best': 'WeightedEnsemble_L3',
'model_paths': {'KNeighborsUnif_BAG_L1': 'AutogluonModels/ag-20211208_121656\\models\\KNeighborsUnif_BAG_L1\\',
'KNeighborsDist_BAG_L1': 'AutogluonModels/ag-20211208_121656\\models\\KNeighborsDist_BAG_L1\\',
'LightGBM_BAG_L1': 'AutogluonModels/ag-20211208_121656\\models\\LightGBM_BAG_L1\\',
'WeightedEnsemble_L2': 'AutogluonModels/ag-20211208_121656\\models\\WeightedEnsemble_L2\\',
'LightGBMXT_BAG_L2': 'AutogluonModels/ag-20211208_121656\\models\\LightGBMXT_BAG_L2\\',
'LightGBM_BAG_L2': 'AutogluonModels/ag-20211208_121656\\models\\LightGBM_BAG_L2\\',
'RandomForestMSE_BAG_L2': 'AutogluonModels/ag-20211208_121656\\models\\RandomForestMSE_BAG_L2\\',
'WeightedEnsemble_L3': 'AutogluonModels/ag-20211208_121656\\models\\WeightedEnsemble_L3\\'},
'model_fit_times': {'KNeighborsUnif_BAG_L1': 0.059964656829833984,
'KNeighborsDist_BAG_L1': 0.06196475028991699,
'LightGBM_BAG_L1': 31.409857034683228,
'WeightedEnsemble_L2': 0.24987316131591797,
'LightGBMXT_BAG_L2': 11.735238552093506,
'LightGBM_BAG_L2': 5.409847736358643,
'RandomForestMSE_BAG_L2': 9.45515489578247,
'WeightedEnsemble_L3': 0.22388315200805664},
'model_pred_times': {'KNeighborsUnif_BAG_L1': 0.1119232177734375,
'KNeighborsDist_BAG_L1': 0.11225557327270508,
'LightGBM_BAG_L1': 1.1363646984100342,
'WeightedEnsemble_L2': 0.0,
'LightGBMXT_BAG_L2': 0.4557926654815674,
'LightGBM_BAG_L2': 0.13692045211791992,
'RandomForestMSE_BAG_L2': 0.4967179298400879,
'WeightedEnsemble_L3': 0.0009992122650146484},
'num_bag_folds': 10,
'max_stack_level': 3,
'model_hyperparams': {'KNeighborsUnif_BAG_L1': {'use_orig_features': True,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True,
'use_child_oof': True},
'KNeighborsDist_BAG_L1': {'use_orig_features': True,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True,
'use_child_oof': True},
'LightGBM_BAG_L1': {'use_orig_features': True,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True},
'WeightedEnsemble_L2': {'use_orig_features': False,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True},
'LightGBMXT_BAG_L2': {'use_orig_features': True,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True},
'LightGBM_BAG_L2': {'use_orig_features': True,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True},
'RandomForestMSE_BAG_L2': {'use_orig_features': True,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True,
'use_child_oof': True},
'WeightedEnsemble_L3': {'use_orig_features': False,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True}},
'leaderboard': model score_val pred_time_val fit_time \
0 WeightedEnsemble_L3 -37.668018 2.450974 58.355911
1 LightGBMXT_BAG_L2 -38.202572 1.816336 43.267025
2 WeightedEnsemble_L2 -38.245361 1.136365 31.659730
3 LightGBM_BAG_L1 -38.245361 1.136365 31.409857
4 LightGBM_BAG_L2 -38.912343 1.497464 36.941634
5 RandomForestMSE_BAG_L2 -39.092819 1.857261 40.986941
6 KNeighborsDist_BAG_L1 -72.135046 0.112256 0.061965
7 KNeighborsUnif_BAG_L1 -72.685921 0.111923 0.059965
pred_time_val_marginal fit_time_marginal stack_level can_infer \
0 0.000999 0.223883 3 True
1 0.455793 11.735239 2 True
2 0.000000 0.249873 2 True
3 1.136365 31.409857 1 True
4 0.136920 5.409848 2 True
5 0.496718 9.455155 2 True
6 0.112256 0.061965 1 True
7 0.111923 0.059965 1 True
fit_order
0 8
1 5
2 4
3 3
4 6
5 7
6 2
7 1 }
# Remember to set all negative values to zero
predictions_advancedV1 = predictor_new_features_advnced1.predict(test)
predictions_advancedV1[predictions_advancedV1<0] = 0
# Same submitting predictions
submission_new_features = pd.read_csv('sampleSubmission.csv')
submission_new_features["count"] = predictions_advancedV1
submission_new_features.to_csv("submission_new_features_Advanced_V1.csv", index=False)
!kaggle competitions submit -c bike-sharing-demand -f submission_new_features_Advanced_V1.csv -m "new features Advanced V1 "
Successfully submitted to Bike Sharing Demand
c:\users\hp\anaconda3\envs\aws deep learning\lib\site-packages\cryptography\hazmat\backends\openssl\x509.py:17: CryptographyDeprecationWarning: This version of cryptography contains a temporary pyOpenSSL fallback path. Upgrade pyOpenSSL now. utils.DeprecatedIn35, 0%| | 0.00/194k [00:00<?, ?B/s] 4%|4 | 8.00k/194k [00:00<00:03, 62.9kB/s] 53%|#####3 | 104k/194k [00:00<00:00, 484kB/s] 100%|##########| 194k/194k [00:00<00:00, 644kB/s] 100%|##########| 194k/194k [00:01<00:00, 103kB/s]
!kaggle competitions submissions -c bike-sharing-demand
fileName date description status publicScore privateScore --------------------------------------- ------------------- -------------------------------------------- -------- ----------- ------------ submission_new_features_Advanced_V1.csv 2021-12-08 12:20:43 new features Advanced V1 complete 0.45810 0.45810 submission_new_features_Advanced_V1.csv 2021-12-08 12:20:12 new features complete 0.45810 0.45810 submission_new_features_log.csv 2021-12-08 12:07:08 NF - Model 2 (Basic Log Transform ) complete 0.50789 0.50789 submission_new_features_log.csv 2021-12-08 12:06:06 NF - Model 2 (Basic Log Transform ) complete 0.50674 0.50674 submission_new_features_log.csv 2021-12-08 11:34:53 NF - Model 2 (Basic Log Transform ) complete 0.50674 0.50674 submission_new_features.csv 2021-12-08 11:24:55 NF - Model 1 (Basic Time Catogricla data ) complete 0.50674 0.50674 submission.csv 2021-12-08 11:13:27 first raw submission complete 1.38952 1.38952 submission_new_hpo.csv 2021-12-08 11:06:33 new features with hyperparameters Tune complete 0.48748 0.48748 submission_new_hpo.csv 2021-12-08 09:14:10 new features with hyperparameters Tune complete 0.51858 0.51858 submission_new_hpo_ensV4.csv 2021-12-07 15:02:09 new features with hyperparameters Vקרדןםמ 4 complete 0.48961 0.48961 submission_new_hpo.csv 2021-12-07 14:29:38 new features with hyperparameters Tune complete 0.48338 0.48338 submission_new_featuresV3.csv 2021-12-07 14:00:06 new featuresV3 complete 0.45074 0.45074 submission_new_featuresV2.csv 2021-12-07 13:39:45 new features complete 0.50306 0.50306 submission_new_features.csv 2021-12-07 13:09:48 new features complete 0.51097 0.51097 submission.csv 2021-12-07 13:04:23 first raw submission complete 1.39309 1.39309 submission_new_hpo.csv 2021-12-07 11:12:13 new features with hyperparameters Tune complete 0.45509 0.45509 submission_new_featuresV3.csv 2021-12-07 10:53:43 new featuresV3 complete 0.45057 0.45057 submission_new_featuresV2.csv 2021-12-07 10:43:05 new features complete 0.47595 0.47595 submission_new_featuresV2.csv 2021-12-07 10:42:32 new features error None None submission_new_features.csv 2021-12-07 10:32:26 new features complete 0.50670 0.50670 submission.csv 2021-12-07 10:24:27 first raw submission complete 1.38989 1.38989 submission_new_hpo.csv 2021-12-07 09:08:34 new features with hyperparameters complete 0.46172 0.46172 submission_new_hpo.csv 2021-12-07 08:59:07 new features with hyperparameters complete 0.45760 0.45760 submission_new_features.csv 2021-12-06 20:57:01 new features complete 0.44755 0.44755 submission_new_features.csv 2021-12-06 20:50:18 new features complete 0.44577 0.44577 submission_new_features.csv 2021-12-06 20:45:43 new features complete 0.44592 0.44592 submission_RMSLE.csv 2021-12-06 17:57:57 Custome Eval Metric complete 0.46093 0.46093 submission_RMSLE.csv 2021-12-06 17:46:31 Custome Eval Metric complete 0.46093 0.46093 submission_RMSLE.csv 2021-12-06 17:25:04 Custome Eval Metric complete 0.46093 0.46093 submission_RMSLE.csv 2021-12-06 17:13:44 Custome Eval Metric complete 0.46093 0.46093 submission_new_hpo_ens.csv 2021-12-06 15:59:53 new features with hyperparameters complete 0.44685 0.44685 submission_new_hpo_ens.csv 2021-12-06 15:55:19 new features with hyperparameters complete 0.47243 0.47243 submission_new_hpo_ens.csv 2021-12-06 15:14:56 new features with hyperparameters complete 0.44685 0.44685 submission_new_hpo_ens.csv 2021-12-06 15:11:35 new features with hyperparameters complete 0.47219 0.47219 submission_new_hpo_ens.csv 2021-12-06 15:03:25 new features with hyperparameters complete 0.44685 0.44685 submission_new_hpo.csv 2021-12-06 15:02:29 new features with hyperparameters complete 0.44685 0.44685 submission_new_hpo.csv 2021-12-06 13:32:40 new features with hyperparameters complete 0.44575 0.44575 submission_new_hpo.csv 2021-12-06 12:22:42 new features with hyperparameters complete 0.45943 0.45943 submission_new_hpo.csv 2021-12-06 12:19:40 new features with hyperparameters complete 0.45999 0.45999 submission_new_hpo.csv 2021-12-06 11:38:43 new features with hyperparameters complete 0.49236 0.49236 submission_new_hpo.csv 2021-12-06 11:23:09 new features with hyperparameters complete 0.44575 0.44575 submission_new_hpo.csv 2021-12-06 11:18:36 new features with hyperparameters complete 0.44575 0.44575 submission_new_hpo.csv 2021-12-06 11:13:58 new features with hyperparameters complete 0.46954 0.46954 submission_new_features.csv 2021-12-06 10:58:08 new features complete 0.44585 0.44585 submission_new_hpo.csv 2021-12-06 10:54:45 new features with hyperparameters complete 0.48625 0.48625 submission_new_hpo.csv 2021-12-06 10:39:14 new features with hyperparameters complete 0.49986 0.49986 submission_new_hpo.csv 2021-12-06 10:35:11 new features with hyperparameters complete 0.45109 0.45109 submission_new_features.csv 2021-12-06 09:55:51 new features complete 0.44583 0.44583 submission_new_features.csv 2021-12-04 11:36:34 new features complete 0.47874 0.47874 submission_new_features.csv 2021-12-04 11:32:02 new features complete 0.50538 0.50538
c:\users\hp\anaconda3\envs\aws deep learning\lib\site-packages\cryptography\hazmat\backends\openssl\x509.py:17: CryptographyDeprecationWarning: This version of cryptography contains a temporary pyOpenSSL fallback path. Upgrade pyOpenSSL now. utils.DeprecatedIn35,
raw.head()
| datetime | season | holiday | workingday | weather | temp | atemp | humidity | windspeed | count | date | hour | weekday | day | month | data | shift_1 | shift_2 | shift_7 | shift_30 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 2011-01-01 00:00:00 | 1 | 0 | 0 | 1 | 9.84 | 14.395 | 81 | 0.0 | 16.0 | 2011-01-01 00:00:00 | 0 | 5 | 1 | 1 | train | NaN | NaN | NaN | NaN |
| 1 | 2011-01-01 01:00:00 | 1 | 0 | 0 | 1 | 9.02 | 13.635 | 80 | 0.0 | 40.0 | 2011-01-01 01:00:00 | 1 | 5 | 1 | 1 | train | NaN | NaN | NaN | NaN |
| 2 | 2011-01-01 02:00:00 | 1 | 0 | 0 | 1 | 9.02 | 13.635 | 80 | 0.0 | 32.0 | 2011-01-01 02:00:00 | 2 | 5 | 1 | 1 | train | NaN | NaN | NaN | NaN |
| 3 | 2011-01-01 03:00:00 | 1 | 0 | 0 | 1 | 9.84 | 14.395 | 75 | 0.0 | 13.0 | 2011-01-01 03:00:00 | 3 | 5 | 1 | 1 | train | NaN | NaN | NaN | NaN |
| 4 | 2011-01-01 04:00:00 | 1 | 0 | 0 | 1 | 9.84 | 14.395 | 75 | 0.0 | 1.0 | 2011-01-01 04:00:00 | 4 | 5 | 1 | 1 | train | NaN | NaN | NaN | NaN |
#Shift features (Houres )
raw.index = raw.datetime
raw["shift_1h"] = raw['count'].shift(1, freq='1H')
raw["shift_2h"] = raw['count'].shift(1, freq='2H')
raw["shift_3h"] = raw['count'].shift(1, freq='3H')
raw["shift_4h"] = raw['count'].shift(1, freq='4H')
raw["shift_5h"] = raw['count'].shift(1, freq='5H')
#calculate Rolling window mean and STD over few of the shift columns
raw["rollin_7d_mean"] = raw['shift_1'].rolling(7).mean()
raw["rollin_7d_std"] = raw['shift_1'].rolling(7).std()
raw["rollin_30d_mean"] = raw['shift_1'].rolling(30).mean()
raw["rollin_30d_std"] = raw['shift_1'].rolling(30).std()
raw["rollin_12h_mean"] = raw['shift_1h'].rolling(12).mean()
raw["rollind_12h_std"] = raw['shift_1h'].rolling(12).std()
raw["rollin_24h_mean"] = raw['shift_1h'].rolling(24).mean()
raw["rollind_24h_std"] = raw['shift_1h'].rolling(24).std()
#Build the model with the new Features
raw.reset_index(inplace=True,drop=True)
train = raw[raw['data']=='train'].copy(deep=True)
test = raw[raw['data']=='test'].copy(deep=True)
test.reset_index(inplace=True,drop=True)
train.drop(['data'],axis=1,inplace =True)
test.drop(['data'],axis=1,inplace =True)
categorical_features = ["hour","day","month","season","weather","holiday","workingday","weekday",'holiday', 'workingday']
for items in categorical_features:
train[items] = train[items].astype("category")
test[items] = test[items].astype("category")
train.head()
| datetime | season | holiday | workingday | weather | temp | atemp | humidity | windspeed | count | ... | shift_4h | shift_5h | rollin_7d_mean | rollin_7d_std | rollin_30d_mean | rollin_30d_std | rollin_12h_mean | rollind_12h_std | rollin_24h_mean | rollind_24h_std | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 2011-01-01 00:00:00 | 1 | 0 | 0 | 1 | 9.84 | 14.395 | 81 | 0.0 | 16.0 | ... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| 1 | 2011-01-01 01:00:00 | 1 | 0 | 0 | 1 | 9.02 | 13.635 | 80 | 0.0 | 40.0 | ... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| 2 | 2011-01-01 02:00:00 | 1 | 0 | 0 | 1 | 9.02 | 13.635 | 80 | 0.0 | 32.0 | ... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| 3 | 2011-01-01 03:00:00 | 1 | 0 | 0 | 1 | 9.84 | 14.395 | 75 | 0.0 | 13.0 | ... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| 4 | 2011-01-01 04:00:00 | 1 | 0 | 0 | 1 | 9.84 | 14.395 | 75 | 0.0 | 1.0 | ... | 16.0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
5 rows × 32 columns
predictor_new_features_advanced_V3 = TabularPredictor(label="count",eval_metric='root_mean_squared_error').fit(
train_data=train,
time_limit=60,
presets="best_quality"
)
No path specified. Models will be saved in: "AutogluonModels/ag-20211210_084351\"
Presets specified: ['best_quality']
Beginning AutoGluon training ... Time limit = 60s
AutoGluon will save models to "AutogluonModels/ag-20211210_084351\"
AutoGluon Version: 0.3.1
Train Data Rows: 10886
Train Data Columns: 31
Preprocessing data ...
AutoGluon infers your prediction problem is: 'regression' (because dtype of label-column == float and many unique label-values observed).
Label info (max, min, mean, stddev): (977.0, 1.0, 191.57413, 181.14445)
If 'regression' is not the correct problem_type, please manually specify the problem_type argument in fit() (You may specify problem_type as one of: ['binary', 'multiclass', 'regression'])
Using Feature Generators to preprocess the data ...
Fitting AutoMLPipelineFeatureGenerator...
Available Memory: 2299.58 MB
Train Data (Original) Memory Usage: 2.09 MB (0.1% of available memory)
Inferring data type of each feature based on column values. Set feature_metadata_in to manually specify special dtypes of the features.
Stage 1 Generators:
Fitting AsTypeFeatureGenerator...
Note: Converting 2 features to boolean dtype as they only contain 2 unique values.
Stage 2 Generators:
Fitting FillNaFeatureGenerator...
Stage 3 Generators:
Fitting IdentityFeatureGenerator...
Fitting CategoryFeatureGenerator...
Fitting CategoryMemoryMinimizeFeatureGenerator...
Fitting DatetimeFeatureGenerator...
Stage 4 Generators:
Fitting DropUniqueFeatureGenerator...
Types of features in original data (raw dtype, special dtypes):
('category', []) : 8 | ['season', 'holiday', 'workingday', 'weather', 'hour', ...]
('datetime', []) : 2 | ['datetime', 'date']
('float', []) : 20 | ['temp', 'atemp', 'windspeed', 'shift_1', 'shift_2', ...]
('int', []) : 1 | ['humidity']
Types of features in processed data (raw dtype, special dtypes):
('category', []) : 6 | ['season', 'weather', 'hour', 'weekday', 'day', ...]
('float', []) : 20 | ['temp', 'atemp', 'windspeed', 'shift_1', 'shift_2', ...]
('int', []) : 1 | ['humidity']
('int', ['bool']) : 2 | ['holiday', 'workingday']
('int', ['datetime_as_int']) : 2 | ['datetime', 'date']
0.2s = Fit runtime
31 features in original data used to generate 31 features in processed data.
Train Data (Processed) Memory Usage: 2.09 MB (0.1% of available memory)
Data preprocessing and feature engineering runtime = 0.27s ...
AutoGluon will gauge predictive performance using evaluation metric: 'root_mean_squared_error'
To change this, specify the eval_metric argument of fit()
AutoGluon will fit 2 stack levels (L1 to L2) ...
Fitting 11 L1 models ...
Fitting model: KNeighborsUnif_BAG_L1 ... Training model for up to 39.81s of the 59.73s of remaining time.
-48.3158 = Validation score (root_mean_squared_error)
0.02s = Training runtime
4.59s = Validation runtime
Fitting model: KNeighborsDist_BAG_L1 ... Training model for up to 34.99s of the 54.9s of remaining time.
-47.6509 = Validation score (root_mean_squared_error)
0.02s = Training runtime
5.14s = Validation runtime
Fitting model: LightGBMXT_BAG_L1 ... Training model for up to 29.61s of the 49.53s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
Ran out of time, early stopping on iteration 908. Best iteration is:
[833] train_set's rmse: 16.3415 valid_set's rmse: 30.9647
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000] train_set's rmse: 14.7202 valid_set's rmse: 34.6147
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000] train_set's rmse: 14.7621 valid_set's rmse: 30.8732
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
-31.9404 = Validation score (root_mean_squared_error)
16.02s = Training runtime
0.34s = Validation runtime
Fitting model: LightGBM_BAG_L1 ... Training model for up to 12.54s of the 32.46s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
Ran out of time, early stopping on iteration 325. Best iteration is:
[268] train_set's rmse: 20.314 valid_set's rmse: 32.4412
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
Ran out of time, early stopping on iteration 308. Best iteration is:
[299] train_set's rmse: 19.1567 valid_set's rmse: 35.8671
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
Ran out of time, early stopping on iteration 415. Best iteration is:
[415] train_set's rmse: 16.7362 valid_set's rmse: 31.1802
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
Ran out of time, early stopping on iteration 411. Best iteration is:
[374] train_set's rmse: 17.4503 valid_set's rmse: 32.9475
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
Ran out of time, early stopping on iteration 393. Best iteration is:
[270] train_set's rmse: 20.0538 valid_set's rmse: 34.704
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
Ran out of time, early stopping on iteration 580. Best iteration is:
[579] train_set's rmse: 13.9387 valid_set's rmse: 30.9876
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
Ran out of time, early stopping on iteration 607. Best iteration is:
[572] train_set's rmse: 14.1132 valid_set's rmse: 31.8345
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
-33.6946 = Validation score (root_mean_squared_error)
11.01s = Training runtime
0.22s = Validation runtime
Fitting model: RandomForestMSE_BAG_L1 ... Training model for up to 1.04s of the 20.96s of remaining time.
-40.2536 = Validation score (root_mean_squared_error)
13.02s = Training runtime
0.8s = Validation runtime
Completed 1/20 k-fold bagging repeats ...
Fitting model: WeightedEnsemble_L2 ... Training model for up to 59.73s of the 5.52s of remaining time.
-31.7567 = Validation score (root_mean_squared_error)
0.32s = Training runtime
0.0s = Validation runtime
Fitting 9 L2 models ...
Fitting model: LightGBMXT_BAG_L2 ... Training model for up to 5.18s of the 5.16s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
Ran out of time, early stopping on iteration 74. Best iteration is:
[74] train_set's rmse: 31.6215 valid_set's rmse: 35.3579
Time limit exceeded... Skipping LightGBMXT_BAG_L2.
Fitting model: LightGBM_BAG_L2 ... Training model for up to 4.61s of the 4.6s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
Ran out of time, early stopping on iteration 58. Best iteration is:
[58] train_set's rmse: 29.5088 valid_set's rmse: 34.3943
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
Ran out of time, early stopping on iteration 68. Best iteration is:
[68] train_set's rmse: 28.0471 valid_set's rmse: 33.1249
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
Ran out of time, early stopping on iteration 95. Best iteration is:
[86] train_set's rmse: 26.3968 valid_set's rmse: 33.2001
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
Ran out of time, early stopping on iteration 74. Best iteration is:
[74] train_set's rmse: 27.6488 valid_set's rmse: 29.5122
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
Ran out of time, early stopping on iteration 74. Best iteration is:
[74] train_set's rmse: 27.6217 valid_set's rmse: 31.3089
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
Ran out of time, early stopping on iteration 90. Best iteration is:
[83] train_set's rmse: 26.6773 valid_set's rmse: 32.5055
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
Ran out of time, early stopping on iteration 56. Best iteration is:
[56] train_set's rmse: 30.2334 valid_set's rmse: 31.1786
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
Ran out of time, early stopping on iteration 50. Best iteration is:
[50] train_set's rmse: 31.6316 valid_set's rmse: 37.014
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
Ran out of time, early stopping on iteration 95. Best iteration is:
[81] train_set's rmse: 26.8663 valid_set's rmse: 33.5921
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
Ran out of time, early stopping on iteration 76. Best iteration is:
[76] train_set's rmse: 27.2696 valid_set's rmse: 32.6982
-32.9087 = Validation score (root_mean_squared_error)
4.34s = Training runtime
0.15s = Validation runtime
Fitting model: RandomForestMSE_BAG_L2 ... Training model for up to 0.01s of the -0.0s of remaining time.
-33.0039 = Validation score (root_mean_squared_error)
18.66s = Training runtime
0.8s = Validation runtime
Completed 1/20 k-fold bagging repeats ...
Fitting model: WeightedEnsemble_L3 ... Training model for up to 59.73s of the -20.85s of remaining time.
-32.4898 = Validation score (root_mean_squared_error)
0.16s = Training runtime
0.0s = Validation runtime
AutoGluon training complete, total runtime = 81.04s ...
TabularPredictor saved. To load, use: predictor = TabularPredictor.load("AutogluonModels/ag-20211210_084351\")
predictor_new_features_advanced_V3.fit_summary()
*** Summary of fit() ***
Estimated performance of each model:
model score_val pred_time_val fit_time pred_time_val_marginal fit_time_marginal stack_level can_infer fit_order
0 WeightedEnsemble_L2 -31.636736 5.734774 27.997924 0.001013 0.308821 2 True 6
1 LightGBMXT_BAG_L1 -31.714531 0.477777 18.554368 0.477777 18.554368 1 True 3
2 LightGBMXT_BAG_L2 -33.398709 11.105198 45.245967 0.175928 4.644301 2 True 7
3 WeightedEnsemble_L3 -33.398709 11.106197 45.247964 0.000999 0.001998 3 True 8
4 LightGBM_BAG_L1 -34.422494 0.235880 9.107751 0.235880 9.107751 1 True 4
5 RandomForestMSE_BAG_L1 -40.409168 0.534705 12.890577 0.534705 12.890577 1 True 5
6 KNeighborsDist_BAG_L1 -47.578748 5.020104 0.026984 5.020104 0.026984 1 True 2
7 KNeighborsUnif_BAG_L1 -48.240770 4.660803 0.021986 4.660803 0.021986 1 True 1
Number of models trained: 8
Types of models trained:
{'StackerEnsembleModel_RF', 'StackerEnsembleModel_LGB', 'StackerEnsembleModel_KNN', 'WeightedEnsembleModel'}
Bagging used: True (with 10 folds)
Multi-layer stack-ensembling used: True (with 3 levels)
Feature Metadata (Processed):
(raw dtype, special dtypes):
('category', []) : 6 | ['season', 'weather', 'hour', 'weekday', 'day', ...]
('float', []) : 20 | ['temp', 'atemp', 'windspeed', 'shift_1', 'shift_2', ...]
('int', []) : 1 | ['humidity']
('int', ['bool']) : 2 | ['holiday', 'workingday']
('int', ['datetime_as_int']) : 2 | ['datetime', 'date']
Plot summary of models saved to file: AutogluonModels/ag-20211208_123837\SummaryOfModels.html
*** End of fit() summary ***
{'model_types': {'KNeighborsUnif_BAG_L1': 'StackerEnsembleModel_KNN',
'KNeighborsDist_BAG_L1': 'StackerEnsembleModel_KNN',
'LightGBMXT_BAG_L1': 'StackerEnsembleModel_LGB',
'LightGBM_BAG_L1': 'StackerEnsembleModel_LGB',
'RandomForestMSE_BAG_L1': 'StackerEnsembleModel_RF',
'WeightedEnsemble_L2': 'WeightedEnsembleModel',
'LightGBMXT_BAG_L2': 'StackerEnsembleModel_LGB',
'WeightedEnsemble_L3': 'WeightedEnsembleModel'},
'model_performance': {'KNeighborsUnif_BAG_L1': -48.24077026076795,
'KNeighborsDist_BAG_L1': -47.57874791446982,
'LightGBMXT_BAG_L1': -31.714530723715097,
'LightGBM_BAG_L1': -34.422494219802275,
'RandomForestMSE_BAG_L1': -40.409168288443695,
'WeightedEnsemble_L2': -31.636735889555165,
'LightGBMXT_BAG_L2': -33.39870868524447,
'WeightedEnsemble_L3': -33.39870868524447},
'model_best': 'WeightedEnsemble_L2',
'model_paths': {'KNeighborsUnif_BAG_L1': 'AutogluonModels/ag-20211208_123837\\models\\KNeighborsUnif_BAG_L1\\',
'KNeighborsDist_BAG_L1': 'AutogluonModels/ag-20211208_123837\\models\\KNeighborsDist_BAG_L1\\',
'LightGBMXT_BAG_L1': 'AutogluonModels/ag-20211208_123837\\models\\LightGBMXT_BAG_L1\\',
'LightGBM_BAG_L1': 'AutogluonModels/ag-20211208_123837\\models\\LightGBM_BAG_L1\\',
'RandomForestMSE_BAG_L1': 'AutogluonModels/ag-20211208_123837\\models\\RandomForestMSE_BAG_L1\\',
'WeightedEnsemble_L2': 'AutogluonModels/ag-20211208_123837\\models\\WeightedEnsemble_L2\\',
'LightGBMXT_BAG_L2': 'AutogluonModels/ag-20211208_123837\\models\\LightGBMXT_BAG_L2\\',
'WeightedEnsemble_L3': 'AutogluonModels/ag-20211208_123837\\models\\WeightedEnsemble_L3\\'},
'model_fit_times': {'KNeighborsUnif_BAG_L1': 0.021985769271850586,
'KNeighborsDist_BAG_L1': 0.026984453201293945,
'LightGBMXT_BAG_L1': 18.554367542266846,
'LightGBM_BAG_L1': 9.107750654220581,
'RandomForestMSE_BAG_L1': 12.890576839447021,
'WeightedEnsemble_L2': 0.308821439743042,
'LightGBMXT_BAG_L2': 4.644301414489746,
'WeightedEnsemble_L3': 0.001997709274291992},
'model_pred_times': {'KNeighborsUnif_BAG_L1': 4.660802602767944,
'KNeighborsDist_BAG_L1': 5.02010440826416,
'LightGBMXT_BAG_L1': 0.47777724266052246,
'LightGBM_BAG_L1': 0.23587989807128906,
'RandomForestMSE_BAG_L1': 0.5347051620483398,
'WeightedEnsemble_L2': 0.001012563705444336,
'LightGBMXT_BAG_L2': 0.17592835426330566,
'WeightedEnsemble_L3': 0.00099945068359375},
'num_bag_folds': 10,
'max_stack_level': 3,
'model_hyperparams': {'KNeighborsUnif_BAG_L1': {'use_orig_features': True,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True,
'use_child_oof': True},
'KNeighborsDist_BAG_L1': {'use_orig_features': True,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True,
'use_child_oof': True},
'LightGBMXT_BAG_L1': {'use_orig_features': True,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True},
'LightGBM_BAG_L1': {'use_orig_features': True,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True},
'RandomForestMSE_BAG_L1': {'use_orig_features': True,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True,
'use_child_oof': True},
'WeightedEnsemble_L2': {'use_orig_features': False,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True},
'LightGBMXT_BAG_L2': {'use_orig_features': True,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True},
'WeightedEnsemble_L3': {'use_orig_features': False,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True}},
'leaderboard': model score_val pred_time_val fit_time \
0 WeightedEnsemble_L2 -31.636736 5.734774 27.997924
1 LightGBMXT_BAG_L1 -31.714531 0.477777 18.554368
2 LightGBMXT_BAG_L2 -33.398709 11.105198 45.245967
3 WeightedEnsemble_L3 -33.398709 11.106197 45.247964
4 LightGBM_BAG_L1 -34.422494 0.235880 9.107751
5 RandomForestMSE_BAG_L1 -40.409168 0.534705 12.890577
6 KNeighborsDist_BAG_L1 -47.578748 5.020104 0.026984
7 KNeighborsUnif_BAG_L1 -48.240770 4.660803 0.021986
pred_time_val_marginal fit_time_marginal stack_level can_infer \
0 0.001013 0.308821 2 True
1 0.477777 18.554368 1 True
2 0.175928 4.644301 2 True
3 0.000999 0.001998 3 True
4 0.235880 9.107751 1 True
5 0.534705 12.890577 1 True
6 5.020104 0.026984 1 True
7 4.660803 0.021986 1 True
fit_order
0 6
1 3
2 7
3 8
4 4
5 5
6 2
7 1 }
predictor_new_features_advanced_V3.leaderboard(train, silent=True)
| model | score_test | score_val | pred_time_test | pred_time_val | fit_time | pred_time_test_marginal | pred_time_val_marginal | fit_time_marginal | stack_level | can_infer | fit_order | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KNeighborsDist_BAG_L1 | -0.000000 | -47.578748 | 4.324185 | 5.020104 | 0.026984 | 4.324185 | 5.020104 | 0.026984 | 1 | True | 2 |
| 1 | RandomForestMSE_BAG_L1 | -14.953333 | -40.409168 | 0.526908 | 0.534705 | 12.890577 | 0.526908 | 0.534705 | 12.890577 | 1 | True | 5 |
| 2 | LightGBMXT_BAG_L2 | -19.481544 | -33.398709 | 15.264128 | 11.105198 | 45.245967 | 0.790564 | 0.175928 | 4.644301 | 2 | True | 7 |
| 3 | WeightedEnsemble_L3 | -19.481544 | -33.398709 | 15.265128 | 11.106197 | 45.247964 | 0.000999 | 0.000999 | 0.001998 | 3 | True | 8 |
| 4 | LightGBMXT_BAG_L1 | -19.641388 | -31.714531 | 3.835796 | 0.477777 | 18.554368 | 3.835796 | 0.477777 | 18.554368 | 1 | True | 3 |
| 5 | WeightedEnsemble_L2 | -19.711362 | -31.636736 | 9.381241 | 5.734774 | 27.997924 | 0.003979 | 0.001013 | 0.308821 | 2 | True | 6 |
| 6 | LightGBM_BAG_L1 | -23.690134 | -34.422494 | 1.217281 | 0.235880 | 9.107751 | 1.217281 | 0.235880 | 9.107751 | 1 | True | 4 |
| 7 | KNeighborsUnif_BAG_L1 | -38.689969 | -48.240770 | 4.569395 | 4.660803 | 0.021986 | 4.569395 | 4.660803 | 0.021986 | 1 | True | 1 |
features_importance = predictor_new_features_advanced_V3.feature_importance(data=train)
Computing feature importance via permutation shuffling for 31 features using 1000 rows with 3 shuffle sets... 124.45s = Expected runtime (41.48s per shuffle set) 74.71s = Actual runtime (Completed 3 of 3 shuffle sets)
# Remember to set all negative values to zero
predictionsV3 = predictor_new_features_advanced_V3.predict(test)
predictionsV3[predictionsV3<0] = 0
# Same submitting predictions
submission_new_features = pd.read_csv('sampleSubmission.csv')
submission_new_features["count"] = predictionsV3
submission_new_features.to_csv("submission_new_featuresV3.csv", index=False)
!kaggle competitions submit -c bike-sharing-demand -f submission_new_featuresV3.csv -m "new features_AdvancedV3"
Successfully submitted to Bike Sharing Demand
c:\users\hp\anaconda3\envs\aws deep learning\lib\site-packages\cryptography\hazmat\backends\openssl\x509.py:17: CryptographyDeprecationWarning: This version of cryptography contains a temporary pyOpenSSL fallback path. Upgrade pyOpenSSL now. utils.DeprecatedIn35, 0%| | 0.00/194k [00:00<?, ?B/s] 4%|4 | 8.00k/194k [00:00<00:03, 52.8kB/s] 49%|####9 | 96.0k/194k [00:00<00:00, 447kB/s] 100%|##########| 194k/194k [00:00<00:00, 663kB/s] 100%|##########| 194k/194k [00:01<00:00, 109kB/s]
!kaggle competitions submissions -c bike-sharing-demand
fileName date description status publicScore privateScore --------------------------------------- ------------------- -------------------------------------------- -------- ----------- ------------ submission_new_featuresV3.csv 2021-12-08 12:44:41 new features_AdvancedV3 complete 0.45274 0.45274 submission_new_features_Advanced_V1.csv 2021-12-08 12:20:43 new features Advanced V1 complete 0.45810 0.45810 submission_new_features_Advanced_V1.csv 2021-12-08 12:20:12 new features complete 0.45810 0.45810 submission_new_features_log.csv 2021-12-08 12:07:08 NF - Model 2 (Basic Log Transform ) complete 0.50789 0.50789 submission_new_features_log.csv 2021-12-08 12:06:06 NF - Model 2 (Basic Log Transform ) complete 0.50674 0.50674 submission_new_features_log.csv 2021-12-08 11:34:53 NF - Model 2 (Basic Log Transform ) complete 0.50674 0.50674 submission_new_features.csv 2021-12-08 11:24:55 NF - Model 1 (Basic Time Catogricla data ) complete 0.50674 0.50674 submission.csv 2021-12-08 11:13:27 first raw submission complete 1.38952 1.38952 submission_new_hpo.csv 2021-12-08 11:06:33 new features with hyperparameters Tune complete 0.48748 0.48748 submission_new_hpo.csv 2021-12-08 09:14:10 new features with hyperparameters Tune complete 0.51858 0.51858 submission_new_hpo_ensV4.csv 2021-12-07 15:02:09 new features with hyperparameters Vקרדןםמ 4 complete 0.48961 0.48961 submission_new_hpo.csv 2021-12-07 14:29:38 new features with hyperparameters Tune complete 0.48338 0.48338 submission_new_featuresV3.csv 2021-12-07 14:00:06 new featuresV3 complete 0.45074 0.45074 submission_new_featuresV2.csv 2021-12-07 13:39:45 new features complete 0.50306 0.50306 submission_new_features.csv 2021-12-07 13:09:48 new features complete 0.51097 0.51097 submission.csv 2021-12-07 13:04:23 first raw submission complete 1.39309 1.39309 submission_new_hpo.csv 2021-12-07 11:12:13 new features with hyperparameters Tune complete 0.45509 0.45509 submission_new_featuresV3.csv 2021-12-07 10:53:43 new featuresV3 complete 0.45057 0.45057 submission_new_featuresV2.csv 2021-12-07 10:43:05 new features complete 0.47595 0.47595 submission_new_featuresV2.csv 2021-12-07 10:42:32 new features error None None submission_new_features.csv 2021-12-07 10:32:26 new features complete 0.50670 0.50670 submission.csv 2021-12-07 10:24:27 first raw submission complete 1.38989 1.38989 submission_new_hpo.csv 2021-12-07 09:08:34 new features with hyperparameters complete 0.46172 0.46172 submission_new_hpo.csv 2021-12-07 08:59:07 new features with hyperparameters complete 0.45760 0.45760 submission_new_features.csv 2021-12-06 20:57:01 new features complete 0.44755 0.44755 submission_new_features.csv 2021-12-06 20:50:18 new features complete 0.44577 0.44577 submission_new_features.csv 2021-12-06 20:45:43 new features complete 0.44592 0.44592 submission_RMSLE.csv 2021-12-06 17:57:57 Custome Eval Metric complete 0.46093 0.46093 submission_RMSLE.csv 2021-12-06 17:46:31 Custome Eval Metric complete 0.46093 0.46093 submission_RMSLE.csv 2021-12-06 17:25:04 Custome Eval Metric complete 0.46093 0.46093 submission_RMSLE.csv 2021-12-06 17:13:44 Custome Eval Metric complete 0.46093 0.46093 submission_new_hpo_ens.csv 2021-12-06 15:59:53 new features with hyperparameters complete 0.44685 0.44685 submission_new_hpo_ens.csv 2021-12-06 15:55:19 new features with hyperparameters complete 0.47243 0.47243 submission_new_hpo_ens.csv 2021-12-06 15:14:56 new features with hyperparameters complete 0.44685 0.44685 submission_new_hpo_ens.csv 2021-12-06 15:11:35 new features with hyperparameters complete 0.47219 0.47219 submission_new_hpo_ens.csv 2021-12-06 15:03:25 new features with hyperparameters complete 0.44685 0.44685 submission_new_hpo.csv 2021-12-06 15:02:29 new features with hyperparameters complete 0.44685 0.44685 submission_new_hpo.csv 2021-12-06 13:32:40 new features with hyperparameters complete 0.44575 0.44575 submission_new_hpo.csv 2021-12-06 12:22:42 new features with hyperparameters complete 0.45943 0.45943 submission_new_hpo.csv 2021-12-06 12:19:40 new features with hyperparameters complete 0.45999 0.45999 submission_new_hpo.csv 2021-12-06 11:38:43 new features with hyperparameters complete 0.49236 0.49236 submission_new_hpo.csv 2021-12-06 11:23:09 new features with hyperparameters complete 0.44575 0.44575 submission_new_hpo.csv 2021-12-06 11:18:36 new features with hyperparameters complete 0.44575 0.44575 submission_new_hpo.csv 2021-12-06 11:13:58 new features with hyperparameters complete 0.46954 0.46954 submission_new_features.csv 2021-12-06 10:58:08 new features complete 0.44585 0.44585 submission_new_hpo.csv 2021-12-06 10:54:45 new features with hyperparameters complete 0.48625 0.48625 submission_new_hpo.csv 2021-12-06 10:39:14 new features with hyperparameters complete 0.49986 0.49986 submission_new_hpo.csv 2021-12-06 10:35:11 new features with hyperparameters complete 0.45109 0.45109 submission_new_features.csv 2021-12-06 09:55:51 new features complete 0.44583 0.44583 submission_new_features.csv 2021-12-04 11:36:34 new features complete 0.47874 0.47874
c:\users\hp\anaconda3\envs\aws deep learning\lib\site-packages\cryptography\hazmat\backends\openssl\x509.py:17: CryptographyDeprecationWarning: This version of cryptography contains a temporary pyOpenSSL fallback path. Upgrade pyOpenSSL now. utils.DeprecatedIn35,
features_importance
features_importance.index[0:25]
Index(['shift_1h', 'hour', 'shift_7', 'workingday', 'shift_1', 'weather',
'weekday', 'rollind_24h_std', 'day', 'humidity', 'month', 'shift_5h',
'shift_4h', 'shift_2h', 'shift_3h', 'temp', 'datetime',
'rollind_12h_std', 'atemp', 'rollin_12h_mean', 'shift_30',
'rollin_24h_mean', 'rollin_7d_std', 'shift_2', 'date'],
dtype='object')
#Use Only the High score imortant features
df_features = train[features_importance.index[0:25]].copy(deep=True)
df_features['count'] = train['count']
df_test = test[features_importance.index[0:25]].copy(deep=True)
predictor_new_features_important = TabularPredictor(label="count",eval_metric='root_mean_squared_error').fit(
train_data=df_features,
time_limit=60,
presets="best_quality"
)
No path specified. Models will be saved in: "AutogluonModels/ag-20211208_135413\"
Presets specified: ['best_quality']
Beginning AutoGluon training ... Time limit = 60s
AutoGluon will save models to "AutogluonModels/ag-20211208_135413\"
AutoGluon Version: 0.3.1
Train Data Rows: 10886
Train Data Columns: 25
Preprocessing data ...
AutoGluon infers your prediction problem is: 'regression' (because dtype of label-column == float and many unique label-values observed).
Label info (max, min, mean, stddev): (977.0, 1.0, 191.57413, 181.14445)
If 'regression' is not the correct problem_type, please manually specify the problem_type argument in fit() (You may specify problem_type as one of: ['binary', 'multiclass', 'regression'])
Using Feature Generators to preprocess the data ...
Fitting AutoMLPipelineFeatureGenerator...
Available Memory: 3992.79 MB
Train Data (Original) Memory Usage: 1.72 MB (0.0% of available memory)
Inferring data type of each feature based on column values. Set feature_metadata_in to manually specify special dtypes of the features.
Stage 1 Generators:
Fitting AsTypeFeatureGenerator...
Note: Converting 1 features to boolean dtype as they only contain 2 unique values.
Stage 2 Generators:
Fitting FillNaFeatureGenerator...
Stage 3 Generators:
Fitting IdentityFeatureGenerator...
Fitting CategoryFeatureGenerator...
Fitting CategoryMemoryMinimizeFeatureGenerator...
Fitting DatetimeFeatureGenerator...
Stage 4 Generators:
Fitting DropUniqueFeatureGenerator...
Types of features in original data (raw dtype, special dtypes):
('category', []) : 6 | ['hour', 'workingday', 'weather', 'weekday', 'day', ...]
('datetime', []) : 2 | ['datetime', 'date']
('float', []) : 16 | ['shift_1h', 'shift_7', 'shift_1', 'rollind_24h_std', 'shift_5h', ...]
('int', []) : 1 | ['humidity']
Types of features in processed data (raw dtype, special dtypes):
('category', []) : 5 | ['hour', 'weather', 'weekday', 'day', 'month']
('float', []) : 16 | ['shift_1h', 'shift_7', 'shift_1', 'rollind_24h_std', 'shift_5h', ...]
('int', []) : 1 | ['humidity']
('int', ['bool']) : 1 | ['workingday']
('int', ['datetime_as_int']) : 2 | ['datetime', 'date']
0.2s = Fit runtime
25 features in original data used to generate 25 features in processed data.
Train Data (Processed) Memory Usage: 1.72 MB (0.0% of available memory)
Data preprocessing and feature engineering runtime = 0.25s ...
AutoGluon will gauge predictive performance using evaluation metric: 'root_mean_squared_error'
To change this, specify the eval_metric argument of fit()
AutoGluon will fit 2 stack levels (L1 to L2) ...
Fitting 11 L1 models ...
Fitting model: KNeighborsUnif_BAG_L1 ... Training model for up to 39.82s of the 59.74s of remaining time.
-48.5053 = Validation score (root_mean_squared_error)
0.02s = Training runtime
4.57s = Validation runtime
Fitting model: KNeighborsDist_BAG_L1 ... Training model for up to 35.03s of the 54.95s of remaining time.
-47.8858 = Validation score (root_mean_squared_error)
0.02s = Training runtime
4.52s = Validation runtime
Fitting model: LightGBMXT_BAG_L1 ... Training model for up to 30.28s of the 50.2s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000] train_set's rmse: 15.1129 valid_set's rmse: 34.6313
Ran out of time, early stopping on iteration 1281. Best iteration is:
[1208] train_set's rmse: 13.6645 valid_set's rmse: 34.5781
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000] train_set's rmse: 15.1476 valid_set's rmse: 31.3633
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
-31.6571 = Validation score (root_mean_squared_error)
17.36s = Training runtime
0.51s = Validation runtime
Fitting model: LightGBM_BAG_L1 ... Training model for up to 11.46s of the 31.38s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
Ran out of time, early stopping on iteration 251. Best iteration is:
[249] train_set's rmse: 21.0548 valid_set's rmse: 32.1618
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
Ran out of time, early stopping on iteration 270. Best iteration is:
[270] train_set's rmse: 20.2513 valid_set's rmse: 36.473
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
Ran out of time, early stopping on iteration 271. Best iteration is:
[271] train_set's rmse: 20.4613 valid_set's rmse: 31.0755
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
Ran out of time, early stopping on iteration 279. Best iteration is:
[270] train_set's rmse: 20.2672 valid_set's rmse: 32.9987
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
Ran out of time, early stopping on iteration 290. Best iteration is:
[280] train_set's rmse: 20.0223 valid_set's rmse: 34.2662
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
Ran out of time, early stopping on iteration 257. Best iteration is:
[256] train_set's rmse: 20.521 valid_set's rmse: 39.3415
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
Ran out of time, early stopping on iteration 313. Best iteration is:
[308] train_set's rmse: 19.3424 valid_set's rmse: 31.3924
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
Ran out of time, early stopping on iteration 339. Best iteration is:
[336] train_set's rmse: 18.5373 valid_set's rmse: 31.8556
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
Ran out of time, early stopping on iteration 377. Best iteration is:
[342] train_set's rmse: 18.3832 valid_set's rmse: 36.3048
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
Ran out of time, early stopping on iteration 419. Best iteration is:
[297] train_set's rmse: 19.6046 valid_set's rmse: 32.1718
-33.9039 = Validation score (root_mean_squared_error)
10.75s = Training runtime
0.27s = Validation runtime
Fitting model: RandomForestMSE_BAG_L1 ... Training model for up to 0.2s of the 20.12s of remaining time.
-40.0709 = Validation score (root_mean_squared_error)
11.07s = Training runtime
0.43s = Validation runtime
Completed 1/20 k-fold bagging repeats ...
Fitting model: WeightedEnsemble_L2 ... Training model for up to 59.75s of the 7.3s of remaining time.
-31.5609 = Validation score (root_mean_squared_error)
0.31s = Training runtime
0.0s = Validation runtime
Fitting 9 L2 models ...
Fitting model: LightGBMXT_BAG_L2 ... Training model for up to 6.98s of the 6.97s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
Ran out of time, early stopping on iteration 220. Best iteration is:
[211] train_set's rmse: 25.9032 valid_set's rmse: 33.9716
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
Ran out of time, early stopping on iteration 226. Best iteration is:
[220] train_set's rmse: 26.0666 valid_set's rmse: 32.566
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
Ran out of time, early stopping on iteration 232. Best iteration is:
[195] train_set's rmse: 26.5773 valid_set's rmse: 33.9915
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
Ran out of time, early stopping on iteration 236. Best iteration is:
[235] train_set's rmse: 25.7137 valid_set's rmse: 30.3967
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
Ran out of time, early stopping on iteration 235. Best iteration is:
[195] train_set's rmse: 26.5938 valid_set's rmse: 30.5762
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
Ran out of time, early stopping on iteration 246. Best iteration is:
[243] train_set's rmse: 25.1824 valid_set's rmse: 32.2322
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
Ran out of time, early stopping on iteration 227. Best iteration is:
[227] train_set's rmse: 25.8136 valid_set's rmse: 30.9506
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
Ran out of time, early stopping on iteration 248. Best iteration is:
[138] train_set's rmse: 28.0279 valid_set's rmse: 34.9272
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
Ran out of time, early stopping on iteration 215. Best iteration is:
[214] train_set's rmse: 25.7862 valid_set's rmse: 34.018
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
Ran out of time, early stopping on iteration 281. Best iteration is:
[278] train_set's rmse: 24.4693 valid_set's rmse: 32.3472
-32.633 = Validation score (root_mean_squared_error)
6.48s = Training runtime
0.24s = Validation runtime
Fitting model: LightGBM_BAG_L2 ... Training model for up to 0.04s of the 0.03s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
Ran out of time, early stopping on iteration 1. Best iteration is:
[1] train_set's rmse: 172.688 valid_set's rmse: 169.43
Time limit exceeded... Skipping LightGBM_BAG_L2.
Completed 1/20 k-fold bagging repeats ...
Fitting model: WeightedEnsemble_L3 ... Training model for up to 59.75s of the -0.24s of remaining time.
-32.633 = Validation score (root_mean_squared_error)
0.0s = Training runtime
0.0s = Validation runtime
AutoGluon training complete, total runtime = 60.26s ...
TabularPredictor saved. To load, use: predictor = TabularPredictor.load("AutogluonModels/ag-20211208_135413\")
predictor_new_features_important.leaderboard(df_features, silent=True)
| model | score_test | score_val | pred_time_test | pred_time_val | fit_time | pred_time_test_marginal | pred_time_val_marginal | fit_time_marginal | stack_level | can_infer | fit_order | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KNeighborsDist_BAG_L1 | -3.270174e-07 | -47.885773 | 4.354761 | 4.518684 | 0.019987 | 4.354761 | 4.518684 | 0.019987 | 1 | True | 2 |
| 1 | RandomForestMSE_BAG_L1 | -1.482808e+01 | -40.070932 | 0.509412 | 0.431772 | 11.071623 | 0.509412 | 0.431772 | 11.071623 | 1 | True | 5 |
| 2 | LightGBMXT_BAG_L2 | -1.684611e+01 | -32.632991 | 16.961518 | 10.542506 | 45.697771 | 1.560102 | 0.244818 | 6.478295 | 2 | True | 7 |
| 3 | WeightedEnsemble_L3 | -1.684611e+01 | -32.632991 | 16.968516 | 10.543504 | 45.699769 | 0.006997 | 0.000999 | 0.001998 | 3 | True | 8 |
| 4 | WeightedEnsemble_L2 | -1.896510e+01 | -31.560907 | 10.585708 | 5.297238 | 28.435670 | 0.011993 | 0.001000 | 0.306823 | 2 | True | 6 |
| 5 | LightGBMXT_BAG_L1 | -1.925119e+01 | -31.657134 | 4.356027 | 0.510692 | 17.362014 | 4.356027 | 0.510692 | 17.362014 | 1 | True | 3 |
| 6 | LightGBM_BAG_L1 | -2.062035e+01 | -33.903901 | 1.862927 | 0.266862 | 10.746845 | 1.862927 | 0.266862 | 10.746845 | 1 | True | 4 |
| 7 | KNeighborsUnif_BAG_L1 | -3.891666e+01 | -48.505319 | 4.318290 | 4.569677 | 0.019007 | 4.318290 | 4.569677 | 0.019007 | 1 | True | 1 |
# Remember to set all negative values to zero
predictions_import_features = predictor_new_features_important.predict(df_test)
predictions_import_features[predictions_import_features<0] = 0
# Same submitting predictions
submission_new_features = pd.read_csv('sampleSubmission.csv')
submission_new_features["count"] = predictions_import_features
submission_new_features.to_csv("submission_import_features.csv", index=False)
!kaggle competitions submit -c bike-sharing-demand -f submission_import_features.csv -m "Feature Importance"
!kaggle competitions submissions -c bike-sharing-demand
Successfully submitted to Bike Sharing Demand
c:\users\hp\anaconda3\envs\aws deep learning\lib\site-packages\cryptography\hazmat\backends\openssl\x509.py:17: CryptographyDeprecationWarning: This version of cryptography contains a temporary pyOpenSSL fallback path. Upgrade pyOpenSSL now. utils.DeprecatedIn35, 0%| | 0.00/194k [00:00<?, ?B/s] 4%|4 | 8.00k/194k [00:00<00:04, 47.0kB/s] 49%|####9 | 96.0k/194k [00:00<00:00, 423kB/s] 100%|##########| 194k/194k [00:00<00:00, 642kB/s] 100%|##########| 194k/194k [00:01<00:00, 108kB/s]
fileName date description status publicScore privateScore --------------------------------------- ------------------- -------------------------------------------- -------- ----------- ------------ submission_import_features.csv 2021-12-08 13:55:39 Feature Importance complete 0.45194 0.45194 submission_import_features.csv 2021-12-08 13:53:11 Feature Importance complete 0.45414 0.45414 submission_import_features.csv 2021-12-08 13:51:11 Feature Importance complete 0.45749 0.45749 submission_import_features.csv 2021-12-08 13:48:53 Feature Importance complete 0.45210 0.45210 submission_import_features.csv 2021-12-08 13:44:55 Feature Importance complete 0.48275 0.48275 submission_import_features.csv 2021-12-08 13:42:28 Feature Importance complete 0.45753 0.45753 submission_import_features.csv 2021-12-08 13:39:01 Feature Importance complete 0.45939 0.45939 submission_new_featuresV3.csv 2021-12-08 12:44:41 new features_AdvancedV3 complete 0.45274 0.45274 submission_new_features_Advanced_V1.csv 2021-12-08 12:20:43 new features Advanced V1 complete 0.45810 0.45810 submission_new_features_Advanced_V1.csv 2021-12-08 12:20:12 new features complete 0.45810 0.45810 submission_new_features_log.csv 2021-12-08 12:07:08 NF - Model 2 (Basic Log Transform ) complete 0.50789 0.50789 submission_new_features_log.csv 2021-12-08 12:06:06 NF - Model 2 (Basic Log Transform ) complete 0.50674 0.50674 submission_new_features_log.csv 2021-12-08 11:34:53 NF - Model 2 (Basic Log Transform ) complete 0.50674 0.50674 submission_new_features.csv 2021-12-08 11:24:55 NF - Model 1 (Basic Time Catogricla data ) complete 0.50674 0.50674 submission.csv 2021-12-08 11:13:27 first raw submission complete 1.38952 1.38952 submission_new_hpo.csv 2021-12-08 11:06:33 new features with hyperparameters Tune complete 0.48748 0.48748 submission_new_hpo.csv 2021-12-08 09:14:10 new features with hyperparameters Tune complete 0.51858 0.51858 submission_new_hpo_ensV4.csv 2021-12-07 15:02:09 new features with hyperparameters Vקרדןםמ 4 complete 0.48961 0.48961 submission_new_hpo.csv 2021-12-07 14:29:38 new features with hyperparameters Tune complete 0.48338 0.48338 submission_new_featuresV3.csv 2021-12-07 14:00:06 new featuresV3 complete 0.45074 0.45074 submission_new_featuresV2.csv 2021-12-07 13:39:45 new features complete 0.50306 0.50306 submission_new_features.csv 2021-12-07 13:09:48 new features complete 0.51097 0.51097 submission.csv 2021-12-07 13:04:23 first raw submission complete 1.39309 1.39309 submission_new_hpo.csv 2021-12-07 11:12:13 new features with hyperparameters Tune complete 0.45509 0.45509 submission_new_featuresV3.csv 2021-12-07 10:53:43 new featuresV3 complete 0.45057 0.45057 submission_new_featuresV2.csv 2021-12-07 10:43:05 new features complete 0.47595 0.47595 submission_new_featuresV2.csv 2021-12-07 10:42:32 new features error None None submission_new_features.csv 2021-12-07 10:32:26 new features complete 0.50670 0.50670 submission.csv 2021-12-07 10:24:27 first raw submission complete 1.38989 1.38989 submission_new_hpo.csv 2021-12-07 09:08:34 new features with hyperparameters complete 0.46172 0.46172 submission_new_hpo.csv 2021-12-07 08:59:07 new features with hyperparameters complete 0.45760 0.45760 submission_new_features.csv 2021-12-06 20:57:01 new features complete 0.44755 0.44755 submission_new_features.csv 2021-12-06 20:50:18 new features complete 0.44577 0.44577 submission_new_features.csv 2021-12-06 20:45:43 new features complete 0.44592 0.44592 submission_RMSLE.csv 2021-12-06 17:57:57 Custome Eval Metric complete 0.46093 0.46093 submission_RMSLE.csv 2021-12-06 17:46:31 Custome Eval Metric complete 0.46093 0.46093 submission_RMSLE.csv 2021-12-06 17:25:04 Custome Eval Metric complete 0.46093 0.46093 submission_RMSLE.csv 2021-12-06 17:13:44 Custome Eval Metric complete 0.46093 0.46093 submission_new_hpo_ens.csv 2021-12-06 15:59:53 new features with hyperparameters complete 0.44685 0.44685 submission_new_hpo_ens.csv 2021-12-06 15:55:19 new features with hyperparameters complete 0.47243 0.47243 submission_new_hpo_ens.csv 2021-12-06 15:14:56 new features with hyperparameters complete 0.44685 0.44685 submission_new_hpo_ens.csv 2021-12-06 15:11:35 new features with hyperparameters complete 0.47219 0.47219 submission_new_hpo_ens.csv 2021-12-06 15:03:25 new features with hyperparameters complete 0.44685 0.44685 submission_new_hpo.csv 2021-12-06 15:02:29 new features with hyperparameters complete 0.44685 0.44685 submission_new_hpo.csv 2021-12-06 13:32:40 new features with hyperparameters complete 0.44575 0.44575 submission_new_hpo.csv 2021-12-06 12:22:42 new features with hyperparameters complete 0.45943 0.45943 submission_new_hpo.csv 2021-12-06 12:19:40 new features with hyperparameters complete 0.45999 0.45999 submission_new_hpo.csv 2021-12-06 11:38:43 new features with hyperparameters complete 0.49236 0.49236 submission_new_hpo.csv 2021-12-06 11:23:09 new features with hyperparameters complete 0.44575 0.44575 submission_new_hpo.csv 2021-12-06 11:18:36 new features with hyperparameters complete 0.44575 0.44575
c:\users\hp\anaconda3\envs\aws deep learning\lib\site-packages\cryptography\hazmat\backends\openssl\x509.py:17: CryptographyDeprecationWarning: This version of cryptography contains a temporary pyOpenSSL fallback path. Upgrade pyOpenSSL now. utils.DeprecatedIn35,
hyperparameter and hyperparameter_tune_kwargs arguments.Using the latest Features Set
time_limit = [2*60,3*60,4*60,5*60]
index=0
results = []
for item in time_limit:
predictor_time_search = TabularPredictor(label="count",eval_metric='root_mean_squared_error').fit(
train_data=df_features,
time_limit=item,
holdout_frac = 0.1,
presets="best_quality"
)
results.append(predictor_time_search.leaderboard(df_features, silent=True))
No path specified. Models will be saved in: "AutogluonModels/ag-20211211_095329\"
Presets specified: ['best_quality']
Beginning AutoGluon training ... Time limit = 120s
AutoGluon will save models to "AutogluonModels/ag-20211211_095329\"
AutoGluon Version: 0.3.1
Train Data Rows: 10886
Train Data Columns: 25
Preprocessing data ...
AutoGluon infers your prediction problem is: 'regression' (because dtype of label-column == float and many unique label-values observed).
Label info (max, min, mean, stddev): (977.0, 1.0, 191.57413, 181.14445)
If 'regression' is not the correct problem_type, please manually specify the problem_type argument in fit() (You may specify problem_type as one of: ['binary', 'multiclass', 'regression'])
Using Feature Generators to preprocess the data ...
Fitting AutoMLPipelineFeatureGenerator...
Available Memory: 4061.61 MB
Train Data (Original) Memory Usage: 1.72 MB (0.0% of available memory)
Inferring data type of each feature based on column values. Set feature_metadata_in to manually specify special dtypes of the features.
Stage 1 Generators:
Fitting AsTypeFeatureGenerator...
Note: Converting 1 features to boolean dtype as they only contain 2 unique values.
Stage 2 Generators:
Fitting FillNaFeatureGenerator...
Stage 3 Generators:
Fitting IdentityFeatureGenerator...
Fitting CategoryFeatureGenerator...
Fitting CategoryMemoryMinimizeFeatureGenerator...
Fitting DatetimeFeatureGenerator...
Stage 4 Generators:
Fitting DropUniqueFeatureGenerator...
Types of features in original data (raw dtype, special dtypes):
('category', []) : 6 | ['hour', 'workingday', 'weather', 'weekday', 'day', ...]
('datetime', []) : 2 | ['datetime', 'date']
('float', []) : 16 | ['shift_1h', 'shift_7', 'shift_1', 'rollind_24h_std', 'shift_5h', ...]
('int', []) : 1 | ['humidity']
Types of features in processed data (raw dtype, special dtypes):
('category', []) : 5 | ['hour', 'weather', 'weekday', 'day', 'month']
('float', []) : 16 | ['shift_1h', 'shift_7', 'shift_1', 'rollind_24h_std', 'shift_5h', ...]
('int', []) : 1 | ['humidity']
('int', ['bool']) : 1 | ['workingday']
('int', ['datetime_as_int']) : 2 | ['datetime', 'date']
0.2s = Fit runtime
25 features in original data used to generate 25 features in processed data.
Train Data (Processed) Memory Usage: 1.72 MB (0.0% of available memory)
Data preprocessing and feature engineering runtime = 0.28s ...
AutoGluon will gauge predictive performance using evaluation metric: 'root_mean_squared_error'
To change this, specify the eval_metric argument of fit()
AutoGluon will fit 2 stack levels (L1 to L2) ...
Fitting 11 L1 models ...
Fitting model: KNeighborsUnif_BAG_L1 ... Training model for up to 79.79s of the 119.71s of remaining time.
-48.4816 = Validation score (root_mean_squared_error)
0.02s = Training runtime
4.33s = Validation runtime
Fitting model: KNeighborsDist_BAG_L1 ... Training model for up to 75.23s of the 115.15s of remaining time.
-47.8773 = Validation score (root_mean_squared_error)
0.02s = Training runtime
4.55s = Validation runtime
Fitting model: LightGBMXT_BAG_L1 ... Training model for up to 70.45s of the 110.37s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000] train_set's rmse: 15.2782 valid_set's rmse: 31.8115
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
-31.7488 = Validation score (root_mean_squared_error)
13.0s = Training runtime
0.32s = Validation runtime
Fitting model: LightGBM_BAG_L1 ... Training model for up to 56.57s of the 96.49s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000] train_set's rmse: 9.70754 valid_set's rmse: 31.1357
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
-33.6714 = Validation score (root_mean_squared_error)
14.44s = Training runtime
0.25s = Validation runtime
Fitting model: RandomForestMSE_BAG_L1 ... Training model for up to 41.47s of the 81.39s of remaining time.
-39.9508 = Validation score (root_mean_squared_error)
10.83s = Training runtime
0.39s = Validation runtime
Fitting model: CatBoost_BAG_L1 ... Training model for up to 29.03s of the 68.95s of remaining time.
-47.1592 = Validation score (root_mean_squared_error)
27.81s = Training runtime
0.09s = Validation runtime
Fitting model: ExtraTreesMSE_BAG_L1 ... Training model for up to 1.08s of the 41.0s of remaining time.
-38.6335 = Validation score (root_mean_squared_error)
3.53s = Training runtime
0.43s = Validation runtime
Completed 1/20 k-fold bagging repeats ...
Fitting model: WeightedEnsemble_L2 ... Training model for up to 119.72s of the 35.64s of remaining time.
-31.6009 = Validation score (root_mean_squared_error)
0.48s = Training runtime
0.0s = Validation runtime
Fitting 9 L2 models ...
Fitting model: LightGBMXT_BAG_L2 ... Training model for up to 35.14s of the 35.13s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
-32.7157 = Validation score (root_mean_squared_error)
9.0s = Training runtime
0.21s = Validation runtime
Fitting model: LightGBM_BAG_L2 ... Training model for up to 25.73s of the 25.72s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
-32.299 = Validation score (root_mean_squared_error)
6.72s = Training runtime
0.12s = Validation runtime
Fitting model: RandomForestMSE_BAG_L2 ... Training model for up to 18.78s of the 18.77s of remaining time.
-32.7225 = Validation score (root_mean_squared_error)
16.75s = Training runtime
0.61s = Validation runtime
Fitting model: CatBoost_BAG_L2 ... Training model for up to 0.03s of the 0.01s of remaining time.
Time limit exceeded... Skipping CatBoost_BAG_L2.
Completed 1/20 k-fold bagging repeats ...
Fitting model: WeightedEnsemble_L3 ... Training model for up to 119.72s of the -0.11s of remaining time.
-31.984 = Validation score (root_mean_squared_error)
0.23s = Training runtime
0.0s = Validation runtime
AutoGluon training complete, total runtime = 120.37s ...
TabularPredictor saved. To load, use: predictor = TabularPredictor.load("AutogluonModels/ag-20211211_095329\")
No path specified. Models will be saved in: "AutogluonModels/ag-20211211_095547\"
Presets specified: ['best_quality']
Beginning AutoGluon training ... Time limit = 180s
AutoGluon will save models to "AutogluonModels/ag-20211211_095547\"
AutoGluon Version: 0.3.1
Train Data Rows: 10886
Train Data Columns: 25
Preprocessing data ...
AutoGluon infers your prediction problem is: 'regression' (because dtype of label-column == float and many unique label-values observed).
Label info (max, min, mean, stddev): (977.0, 1.0, 191.57413, 181.14445)
If 'regression' is not the correct problem_type, please manually specify the problem_type argument in fit() (You may specify problem_type as one of: ['binary', 'multiclass', 'regression'])
Using Feature Generators to preprocess the data ...
Fitting AutoMLPipelineFeatureGenerator...
Available Memory: 3637.41 MB
Train Data (Original) Memory Usage: 1.72 MB (0.0% of available memory)
Inferring data type of each feature based on column values. Set feature_metadata_in to manually specify special dtypes of the features.
Stage 1 Generators:
Fitting AsTypeFeatureGenerator...
Note: Converting 1 features to boolean dtype as they only contain 2 unique values.
Stage 2 Generators:
Fitting FillNaFeatureGenerator...
Stage 3 Generators:
Fitting IdentityFeatureGenerator...
Fitting CategoryFeatureGenerator...
Fitting CategoryMemoryMinimizeFeatureGenerator...
Fitting DatetimeFeatureGenerator...
Stage 4 Generators:
Fitting DropUniqueFeatureGenerator...
Types of features in original data (raw dtype, special dtypes):
('category', []) : 6 | ['hour', 'workingday', 'weather', 'weekday', 'day', ...]
('datetime', []) : 2 | ['datetime', 'date']
('float', []) : 16 | ['shift_1h', 'shift_7', 'shift_1', 'rollind_24h_std', 'shift_5h', ...]
('int', []) : 1 | ['humidity']
Types of features in processed data (raw dtype, special dtypes):
('category', []) : 5 | ['hour', 'weather', 'weekday', 'day', 'month']
('float', []) : 16 | ['shift_1h', 'shift_7', 'shift_1', 'rollind_24h_std', 'shift_5h', ...]
('int', []) : 1 | ['humidity']
('int', ['bool']) : 1 | ['workingday']
('int', ['datetime_as_int']) : 2 | ['datetime', 'date']
0.3s = Fit runtime
25 features in original data used to generate 25 features in processed data.
Train Data (Processed) Memory Usage: 1.72 MB (0.0% of available memory)
Data preprocessing and feature engineering runtime = 0.32s ...
AutoGluon will gauge predictive performance using evaluation metric: 'root_mean_squared_error'
To change this, specify the eval_metric argument of fit()
AutoGluon will fit 2 stack levels (L1 to L2) ...
Fitting 11 L1 models ...
Fitting model: KNeighborsUnif_BAG_L1 ... Training model for up to 119.75s of the 179.67s of remaining time.
-48.4816 = Validation score (root_mean_squared_error)
0.02s = Training runtime
4.88s = Validation runtime
Fitting model: KNeighborsDist_BAG_L1 ... Training model for up to 114.63s of the 174.55s of remaining time.
-47.8773 = Validation score (root_mean_squared_error)
0.02s = Training runtime
4.93s = Validation runtime
Fitting model: LightGBMXT_BAG_L1 ... Training model for up to 109.47s of the 169.38s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000] train_set's rmse: 15.2782 valid_set's rmse: 31.8115
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
-31.7488 = Validation score (root_mean_squared_error)
15.79s = Training runtime
0.41s = Validation runtime
Fitting model: LightGBM_BAG_L1 ... Training model for up to 92.59s of the 152.51s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000] train_set's rmse: 9.70754 valid_set's rmse: 31.1357
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
-33.6714 = Validation score (root_mean_squared_error)
13.67s = Training runtime
0.24s = Validation runtime
Fitting model: RandomForestMSE_BAG_L1 ... Training model for up to 78.29s of the 138.21s of remaining time.
-39.9508 = Validation score (root_mean_squared_error)
11.31s = Training runtime
0.49s = Validation runtime
Fitting model: CatBoost_BAG_L1 ... Training model for up to 65.18s of the 125.1s of remaining time.
Time limit exceeded... Skipping CatBoost_BAG_L1.
Completed 1/20 k-fold bagging repeats ...
Fitting model: WeightedEnsemble_L2 ... Training model for up to 179.68s of the 59.7s of remaining time.
-31.6009 = Validation score (root_mean_squared_error)
0.34s = Training runtime
0.0s = Validation runtime
Fitting 9 L2 models ...
Fitting model: LightGBMXT_BAG_L2 ... Training model for up to 59.34s of the 59.33s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
-32.8287 = Validation score (root_mean_squared_error)
9.82s = Training runtime
0.23s = Validation runtime
Fitting model: LightGBM_BAG_L2 ... Training model for up to 49.04s of the 49.03s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
-32.2957 = Validation score (root_mean_squared_error)
8.02s = Training runtime
0.13s = Validation runtime
Fitting model: RandomForestMSE_BAG_L2 ... Training model for up to 40.76s of the 40.75s of remaining time.
-32.6416 = Validation score (root_mean_squared_error)
16.83s = Training runtime
0.49s = Validation runtime
Fitting model: CatBoost_BAG_L2 ... Training model for up to 22.08s of the 22.07s of remaining time.
-35.1461 = Validation score (root_mean_squared_error)
21.39s = Training runtime
0.1s = Validation runtime
Fitting model: ExtraTreesMSE_BAG_L2 ... Training model for up to 0.44s of the 0.43s of remaining time.
-32.2071 = Validation score (root_mean_squared_error)
4.34s = Training runtime
0.49s = Validation runtime
Completed 1/20 k-fold bagging repeats ...
Fitting model: WeightedEnsemble_L3 ... Training model for up to 179.68s of the -5.81s of remaining time.
-31.9063 = Validation score (root_mean_squared_error)
0.3s = Training runtime
0.0s = Validation runtime
AutoGluon training complete, total runtime = 186.14s ...
TabularPredictor saved. To load, use: predictor = TabularPredictor.load("AutogluonModels/ag-20211211_095547\")
No path specified. Models will be saved in: "AutogluonModels/ag-20211211_095911\"
Presets specified: ['best_quality']
Beginning AutoGluon training ... Time limit = 240s
AutoGluon will save models to "AutogluonModels/ag-20211211_095911\"
AutoGluon Version: 0.3.1
Train Data Rows: 10886
Train Data Columns: 25
Preprocessing data ...
AutoGluon infers your prediction problem is: 'regression' (because dtype of label-column == float and many unique label-values observed).
Label info (max, min, mean, stddev): (977.0, 1.0, 191.57413, 181.14445)
If 'regression' is not the correct problem_type, please manually specify the problem_type argument in fit() (You may specify problem_type as one of: ['binary', 'multiclass', 'regression'])
Using Feature Generators to preprocess the data ...
Fitting AutoMLPipelineFeatureGenerator...
Available Memory: 3785.26 MB
Train Data (Original) Memory Usage: 1.72 MB (0.0% of available memory)
Inferring data type of each feature based on column values. Set feature_metadata_in to manually specify special dtypes of the features.
Stage 1 Generators:
Fitting AsTypeFeatureGenerator...
Note: Converting 1 features to boolean dtype as they only contain 2 unique values.
Stage 2 Generators:
Fitting FillNaFeatureGenerator...
Stage 3 Generators:
Fitting IdentityFeatureGenerator...
Fitting CategoryFeatureGenerator...
Fitting CategoryMemoryMinimizeFeatureGenerator...
Fitting DatetimeFeatureGenerator...
Stage 4 Generators:
Fitting DropUniqueFeatureGenerator...
Types of features in original data (raw dtype, special dtypes):
('category', []) : 6 | ['hour', 'workingday', 'weather', 'weekday', 'day', ...]
('datetime', []) : 2 | ['datetime', 'date']
('float', []) : 16 | ['shift_1h', 'shift_7', 'shift_1', 'rollind_24h_std', 'shift_5h', ...]
('int', []) : 1 | ['humidity']
Types of features in processed data (raw dtype, special dtypes):
('category', []) : 5 | ['hour', 'weather', 'weekday', 'day', 'month']
('float', []) : 16 | ['shift_1h', 'shift_7', 'shift_1', 'rollind_24h_std', 'shift_5h', ...]
('int', []) : 1 | ['humidity']
('int', ['bool']) : 1 | ['workingday']
('int', ['datetime_as_int']) : 2 | ['datetime', 'date']
0.2s = Fit runtime
25 features in original data used to generate 25 features in processed data.
Train Data (Processed) Memory Usage: 1.72 MB (0.0% of available memory)
Data preprocessing and feature engineering runtime = 0.24s ...
AutoGluon will gauge predictive performance using evaluation metric: 'root_mean_squared_error'
To change this, specify the eval_metric argument of fit()
AutoGluon will fit 2 stack levels (L1 to L2) ...
Fitting 11 L1 models ...
Fitting model: KNeighborsUnif_BAG_L1 ... Training model for up to 159.8s of the 239.75s of remaining time.
-48.4816 = Validation score (root_mean_squared_error)
0.02s = Training runtime
4.41s = Validation runtime
Fitting model: KNeighborsDist_BAG_L1 ... Training model for up to 155.17s of the 235.12s of remaining time.
-47.8773 = Validation score (root_mean_squared_error)
0.03s = Training runtime
4.76s = Validation runtime
Fitting model: LightGBMXT_BAG_L1 ... Training model for up to 150.07s of the 230.02s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000] train_set's rmse: 15.2782 valid_set's rmse: 31.8115
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
-31.7488 = Validation score (root_mean_squared_error)
17.2s = Training runtime
0.39s = Validation runtime
Fitting model: LightGBM_BAG_L1 ... Training model for up to 131.8s of the 211.75s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000] train_set's rmse: 9.70754 valid_set's rmse: 31.1357
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
-33.6714 = Validation score (root_mean_squared_error)
13.25s = Training runtime
0.24s = Validation runtime
Fitting model: RandomForestMSE_BAG_L1 ... Training model for up to 117.94s of the 197.89s of remaining time.
-39.9508 = Validation score (root_mean_squared_error)
11.1s = Training runtime
0.4s = Validation runtime
Fitting model: CatBoost_BAG_L1 ... Training model for up to 105.18s of the 185.14s of remaining time.
-36.214 = Validation score (root_mean_squared_error)
103.59s = Training runtime
0.09s = Validation runtime
Fitting model: ExtraTreesMSE_BAG_L1 ... Training model for up to 0.56s of the 80.51s of remaining time.
-38.6335 = Validation score (root_mean_squared_error)
3.18s = Training runtime
0.43s = Validation runtime
Completed 1/20 k-fold bagging repeats ...
Fitting model: WeightedEnsemble_L2 ... Training model for up to 239.76s of the 75.62s of remaining time.
-31.5916 = Validation score (root_mean_squared_error)
0.39s = Training runtime
0.0s = Validation runtime
Fitting 9 L2 models ...
Fitting model: LightGBMXT_BAG_L2 ... Training model for up to 75.21s of the 75.2s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
-32.4178 = Validation score (root_mean_squared_error)
9.81s = Training runtime
0.22s = Validation runtime
Fitting model: LightGBM_BAG_L2 ... Training model for up to 64.95s of the 64.94s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
-32.1581 = Validation score (root_mean_squared_error)
7.18s = Training runtime
0.13s = Validation runtime
Fitting model: RandomForestMSE_BAG_L2 ... Training model for up to 57.54s of the 57.53s of remaining time.
-32.695 = Validation score (root_mean_squared_error)
15.7s = Training runtime
0.58s = Validation runtime
Fitting model: CatBoost_BAG_L2 ... Training model for up to 40.08s of the 40.07s of remaining time.
-32.8959 = Validation score (root_mean_squared_error)
38.12s = Training runtime
0.09s = Validation runtime
Fitting model: ExtraTreesMSE_BAG_L2 ... Training model for up to 1.32s of the 1.31s of remaining time.
-31.9793 = Validation score (root_mean_squared_error)
3.98s = Training runtime
0.49s = Validation runtime
Completed 1/20 k-fold bagging repeats ...
Fitting model: WeightedEnsemble_L3 ... Training model for up to 239.76s of the -10.02s of remaining time.
-31.7039 = Validation score (root_mean_squared_error)
0.29s = Training runtime
0.0s = Validation runtime
AutoGluon training complete, total runtime = 250.36s ...
TabularPredictor saved. To load, use: predictor = TabularPredictor.load("AutogluonModels/ag-20211211_095911\")
No path specified. Models will be saved in: "AutogluonModels/ag-20211211_100339\"
Presets specified: ['best_quality']
Beginning AutoGluon training ... Time limit = 300s
AutoGluon will save models to "AutogluonModels/ag-20211211_100339\"
AutoGluon Version: 0.3.1
Train Data Rows: 10886
Train Data Columns: 25
Preprocessing data ...
AutoGluon infers your prediction problem is: 'regression' (because dtype of label-column == float and many unique label-values observed).
Label info (max, min, mean, stddev): (977.0, 1.0, 191.57413, 181.14445)
If 'regression' is not the correct problem_type, please manually specify the problem_type argument in fit() (You may specify problem_type as one of: ['binary', 'multiclass', 'regression'])
Using Feature Generators to preprocess the data ...
Fitting AutoMLPipelineFeatureGenerator...
Available Memory: 3691.32 MB
Train Data (Original) Memory Usage: 1.72 MB (0.0% of available memory)
Inferring data type of each feature based on column values. Set feature_metadata_in to manually specify special dtypes of the features.
Stage 1 Generators:
Fitting AsTypeFeatureGenerator...
Note: Converting 1 features to boolean dtype as they only contain 2 unique values.
Stage 2 Generators:
Fitting FillNaFeatureGenerator...
Stage 3 Generators:
Fitting IdentityFeatureGenerator...
Fitting CategoryFeatureGenerator...
Fitting CategoryMemoryMinimizeFeatureGenerator...
Fitting DatetimeFeatureGenerator...
Stage 4 Generators:
Fitting DropUniqueFeatureGenerator...
Types of features in original data (raw dtype, special dtypes):
('category', []) : 6 | ['hour', 'workingday', 'weather', 'weekday', 'day', ...]
('datetime', []) : 2 | ['datetime', 'date']
('float', []) : 16 | ['shift_1h', 'shift_7', 'shift_1', 'rollind_24h_std', 'shift_5h', ...]
('int', []) : 1 | ['humidity']
Types of features in processed data (raw dtype, special dtypes):
('category', []) : 5 | ['hour', 'weather', 'weekday', 'day', 'month']
('float', []) : 16 | ['shift_1h', 'shift_7', 'shift_1', 'rollind_24h_std', 'shift_5h', ...]
('int', []) : 1 | ['humidity']
('int', ['bool']) : 1 | ['workingday']
('int', ['datetime_as_int']) : 2 | ['datetime', 'date']
0.2s = Fit runtime
25 features in original data used to generate 25 features in processed data.
Train Data (Processed) Memory Usage: 1.72 MB (0.0% of available memory)
Data preprocessing and feature engineering runtime = 0.23s ...
AutoGluon will gauge predictive performance using evaluation metric: 'root_mean_squared_error'
To change this, specify the eval_metric argument of fit()
AutoGluon will fit 2 stack levels (L1 to L2) ...
Fitting 11 L1 models ...
Fitting model: KNeighborsUnif_BAG_L1 ... Training model for up to 199.79s of the 299.76s of remaining time.
-48.4816 = Validation score (root_mean_squared_error)
0.02s = Training runtime
4.27s = Validation runtime
Fitting model: KNeighborsDist_BAG_L1 ... Training model for up to 195.31s of the 295.28s of remaining time.
-47.8773 = Validation score (root_mean_squared_error)
0.02s = Training runtime
4.29s = Validation runtime
Fitting model: LightGBMXT_BAG_L1 ... Training model for up to 190.71s of the 290.68s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000] train_set's rmse: 15.2782 valid_set's rmse: 31.8115
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
-31.7488 = Validation score (root_mean_squared_error)
12.69s = Training runtime
0.34s = Validation runtime
Fitting model: LightGBM_BAG_L1 ... Training model for up to 176.97s of the 276.94s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000] train_set's rmse: 9.70754 valid_set's rmse: 31.1357
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
-33.6714 = Validation score (root_mean_squared_error)
13.33s = Training runtime
0.23s = Validation runtime
Fitting model: RandomForestMSE_BAG_L1 ... Training model for up to 163.01s of the 262.98s of remaining time.
-39.9508 = Validation score (root_mean_squared_error)
10.43s = Training runtime
0.43s = Validation runtime
Fitting model: CatBoost_BAG_L1 ... Training model for up to 150.94s of the 250.91s of remaining time.
-34.7949 = Validation score (root_mean_squared_error)
148.76s = Training runtime
0.1s = Validation runtime
Fitting model: ExtraTreesMSE_BAG_L1 ... Training model for up to 1.96s of the 101.93s of remaining time.
-38.6335 = Validation score (root_mean_squared_error)
3.65s = Training runtime
0.49s = Validation runtime
Completed 1/20 k-fold bagging repeats ...
Fitting model: WeightedEnsemble_L2 ... Training model for up to 299.77s of the 96.48s of remaining time.
-31.5473 = Validation score (root_mean_squared_error)
0.39s = Training runtime
0.0s = Validation runtime
Fitting 9 L2 models ...
Fitting model: LightGBMXT_BAG_L2 ... Training model for up to 96.08s of the 96.07s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
-32.4382 = Validation score (root_mean_squared_error)
7.5s = Training runtime
0.19s = Validation runtime
Fitting model: LightGBM_BAG_L2 ... Training model for up to 88.19s of the 88.18s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
-32.0903 = Validation score (root_mean_squared_error)
7.04s = Training runtime
0.13s = Validation runtime
Fitting model: RandomForestMSE_BAG_L2 ... Training model for up to 80.92s of the 80.91s of remaining time.
-32.5589 = Validation score (root_mean_squared_error)
15.12s = Training runtime
0.56s = Validation runtime
Fitting model: CatBoost_BAG_L2 ... Training model for up to 64.05s of the 64.04s of remaining time.
-32.4022 = Validation score (root_mean_squared_error)
63.56s = Training runtime
0.1s = Validation runtime
Fitting model: ExtraTreesMSE_BAG_L2 ... Training model for up to 0.22s of the 0.21s of remaining time.
-32.0169 = Validation score (root_mean_squared_error)
3.98s = Training runtime
0.49s = Validation runtime
Completed 1/20 k-fold bagging repeats ...
Fitting model: WeightedEnsemble_L3 ... Training model for up to 299.77s of the -5.77s of remaining time.
-31.7004 = Validation score (root_mean_squared_error)
0.3s = Training runtime
0.0s = Validation runtime
AutoGluon training complete, total runtime = 306.1s ...
TabularPredictor saved. To load, use: predictor = TabularPredictor.load("AutogluonModels/ag-20211211_100339\")
for x in range(3):
print(results[x])
model score_test score_val pred_time_test \
0 KNeighborsDist_BAG_L1 -2.068240e-07 -47.877308 4.836791
1 ExtraTreesMSE_BAG_L1 -1.424137e+01 -38.633465 0.619097
2 RandomForestMSE_BAG_L1 -1.476350e+01 -39.950767 0.706671
3 LightGBMXT_BAG_L2 -1.548739e+01 -32.715673 16.304163
4 WeightedEnsemble_L3 -1.592625e+01 -31.984035 17.436274
5 RandomForestMSE_BAG_L2 -1.639805e+01 -32.722494 15.651911
6 LightGBM_BAG_L2 -1.726698e+01 -32.298959 15.467255
7 LightGBM_BAG_L1 -1.760263e+01 -33.671413 1.818951
8 WeightedEnsemble_L2 -1.860298e+01 -31.600890 9.146291
9 LightGBMXT_BAG_L1 -1.939929e+01 -31.748761 2.480554
10 KNeighborsUnif_BAG_L1 -3.893895e+01 -48.481624 4.361507
11 CatBoost_BAG_L1 -4.474424e+01 -47.159236 0.173953
pred_time_val fit_time pred_time_test_marginal \
0 4.547157 0.017988 4.836791
1 0.433752 3.530076 0.619097
2 0.390791 10.831395 0.706671
3 10.562694 78.645502 1.306638
4 11.293290 102.346343 0.007995
5 10.965483 86.396551 0.654386
6 10.477743 76.369836 0.469729
7 0.253854 14.436683 1.818951
8 5.118831 27.929887 0.009995
9 0.316820 12.998489 2.480554
10 4.325527 0.023987 4.361507
11 0.088913 27.807089 0.173953
pred_time_val_marginal fit_time_marginal stack_level can_infer \
0 4.547157 0.017988 1 True
1 0.433752 3.530076 1 True
2 0.390791 10.831395 1 True
3 0.205879 8.999795 2 True
4 0.000999 0.225869 3 True
5 0.608669 16.750844 2 True
6 0.120928 6.724129 2 True
7 0.253854 14.436683 1 True
8 0.001000 0.476726 2 True
9 0.316820 12.998489 1 True
10 4.325527 0.023987 1 True
11 0.088913 27.807089 1 True
fit_order
0 2
1 7
2 5
3 9
4 12
5 11
6 10
7 4
8 8
9 3
10 1
11 6
model score_test score_val pred_time_test \
0 KNeighborsDist_BAG_L1 -2.068240e-07 -47.877308 4.513487
1 RandomForestMSE_BAG_L1 -1.476350e+01 -39.950767 0.759706
2 LightGBMXT_BAG_L2 -1.554346e+01 -32.828651 15.969034
3 WeightedEnsemble_L3 -1.627839e+01 -31.906257 17.666282
4 RandomForestMSE_BAG_L2 -1.667871e+01 -32.641605 15.347082
5 ExtraTreesMSE_BAG_L2 -1.698762e+01 -32.207127 15.390902
6 LightGBM_BAG_L2 -1.742097e+01 -32.295674 15.161499
7 LightGBM_BAG_L1 -1.760263e+01 -33.671413 1.763984
8 WeightedEnsemble_L2 -1.860298e+01 -31.600890 8.878850
9 LightGBMXT_BAG_L1 -1.939929e+01 -31.748761 2.594505
10 CatBoost_BAG_L2 -2.146520e+01 -35.146128 14.906253
11 KNeighborsUnif_BAG_L1 -3.893895e+01 -48.481624 5.105061
pred_time_val fit_time pred_time_test_marginal pred_time_val_marginal \
0 4.932617 0.019979 4.513487 4.932617
1 0.488718 11.308419 0.759706 0.488718
2 11.180018 50.632731 1.232291 0.228870
3 12.296392 80.121774 0.007996 0.001000
4 11.445863 57.646737 0.610339 0.494716
5 11.441885 45.150910 0.654158 0.490737
6 11.081070 48.836789 0.424755 0.129922
7 0.240861 13.674118 1.763984 0.240861
8 5.580241 29.820806 0.006873 0.001000
9 0.405763 15.789905 2.594505 0.405763
10 11.053090 62.200799 0.169509 0.101942
11 4.883188 0.022986 5.105061 4.883188
fit_time_marginal stack_level can_infer fit_order
0 0.019979 1 True 2
1 11.308419 1 True 5
2 9.817325 2 True 7
3 0.300826 3 True 12
4 16.831331 2 True 9
5 4.335504 2 True 11
6 8.021383 2 True 8
7 13.674118 1 True 4
8 0.336804 2 True 6
9 15.789905 1 True 3
10 21.385392 2 True 10
11 0.022986 1 True 1
model score_test score_val pred_time_test \
0 KNeighborsDist_BAG_L1 -2.068240e-07 -47.877308 4.335899
1 ExtraTreesMSE_BAG_L1 -1.424137e+01 -38.633465 0.641069
2 RandomForestMSE_BAG_L1 -1.476350e+01 -39.950767 0.649731
3 LightGBMXT_BAG_L2 -1.598340e+01 -32.417824 15.564713
4 WeightedEnsemble_L3 -1.681246e+01 -31.703901 16.649247
5 RandomForestMSE_BAG_L2 -1.701187e+01 -32.695044 14.977512
6 ExtraTreesMSE_BAG_L2 -1.756622e+01 -31.979331 14.964303
7 LightGBM_BAG_L1 -1.760263e+01 -33.671413 1.693025
8 CatBoost_BAG_L2 -1.777008e+01 -32.895921 14.490366
9 LightGBM_BAG_L2 -1.800741e+01 -32.158074 14.745185
10 WeightedEnsemble_L2 -1.901976e+01 -31.591619 8.802482
11 LightGBMXT_BAG_L1 -1.939929e+01 -31.748761 2.495561
12 CatBoost_BAG_L1 -3.100732e+01 -36.213989 0.270181
13 KNeighborsUnif_BAG_L1 -3.893895e+01 -48.481624 4.230965
pred_time_val fit_time pred_time_test_marginal \
0 4.760259 0.025984 4.335899
1 0.429775 3.177173 0.641069
2 0.397770 11.095634 0.649731
3 10.937941 158.161819 1.248281
4 11.558583 169.613444 0.007910
5 11.295735 164.052448 0.661080
6 11.205789 152.325426 0.647871
7 0.235863 13.246117 1.693025
8 10.806980 186.469009 0.173934
9 10.841994 155.528358 0.428753
10 5.479951 134.451462 0.007815
11 0.387892 17.197382 2.495561
12 0.094939 103.588206 0.270181
13 4.407574 0.017992 4.230965
pred_time_val_marginal fit_time_marginal stack_level can_infer \
0 4.760259 0.025984 1 True
1 0.429775 3.177173 1 True
2 0.397770 11.095634 1 True
3 0.223871 9.813329 2 True
4 0.000999 0.294821 3 True
5 0.581664 15.703958 2 True
6 0.491719 3.976936 2 True
7 0.235863 13.246117 1 True
8 0.092910 38.120519 2 True
9 0.127924 7.179868 2 True
10 0.000999 0.393772 2 True
11 0.387892 17.197382 1 True
12 0.094939 103.588206 1 True
13 4.407574 0.017992 1 True
fit_order
0 2
1 7
2 5
3 9
4 14
5 11
6 13
7 4
8 12
9 10
10 8
11 3
12 6
13 1
results[2]
| model | score_test | score_val | pred_time_test | pred_time_val | fit_time | pred_time_test_marginal | pred_time_val_marginal | fit_time_marginal | stack_level | can_infer | fit_order | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KNeighborsDist_BAG_L1 | -2.068240e-07 | -47.877308 | 4.335899 | 4.760259 | 0.025984 | 4.335899 | 4.760259 | 0.025984 | 1 | True | 2 |
| 1 | ExtraTreesMSE_BAG_L1 | -1.424137e+01 | -38.633465 | 0.641069 | 0.429775 | 3.177173 | 0.641069 | 0.429775 | 3.177173 | 1 | True | 7 |
| 2 | RandomForestMSE_BAG_L1 | -1.476350e+01 | -39.950767 | 0.649731 | 0.397770 | 11.095634 | 0.649731 | 0.397770 | 11.095634 | 1 | True | 5 |
| 3 | LightGBMXT_BAG_L2 | -1.598340e+01 | -32.417824 | 15.564713 | 10.937941 | 158.161819 | 1.248281 | 0.223871 | 9.813329 | 2 | True | 9 |
| 4 | WeightedEnsemble_L3 | -1.681246e+01 | -31.703901 | 16.649247 | 11.558583 | 169.613444 | 0.007910 | 0.000999 | 0.294821 | 3 | True | 14 |
| 5 | RandomForestMSE_BAG_L2 | -1.701187e+01 | -32.695044 | 14.977512 | 11.295735 | 164.052448 | 0.661080 | 0.581664 | 15.703958 | 2 | True | 11 |
| 6 | ExtraTreesMSE_BAG_L2 | -1.756622e+01 | -31.979331 | 14.964303 | 11.205789 | 152.325426 | 0.647871 | 0.491719 | 3.976936 | 2 | True | 13 |
| 7 | LightGBM_BAG_L1 | -1.760263e+01 | -33.671413 | 1.693025 | 0.235863 | 13.246117 | 1.693025 | 0.235863 | 13.246117 | 1 | True | 4 |
| 8 | CatBoost_BAG_L2 | -1.777008e+01 | -32.895921 | 14.490366 | 10.806980 | 186.469009 | 0.173934 | 0.092910 | 38.120519 | 2 | True | 12 |
| 9 | LightGBM_BAG_L2 | -1.800741e+01 | -32.158074 | 14.745185 | 10.841994 | 155.528358 | 0.428753 | 0.127924 | 7.179868 | 2 | True | 10 |
| 10 | WeightedEnsemble_L2 | -1.901976e+01 | -31.591619 | 8.802482 | 5.479951 | 134.451462 | 0.007815 | 0.000999 | 0.393772 | 2 | True | 8 |
| 11 | LightGBMXT_BAG_L1 | -1.939929e+01 | -31.748761 | 2.495561 | 0.387892 | 17.197382 | 2.495561 | 0.387892 | 17.197382 | 1 | True | 3 |
| 12 | CatBoost_BAG_L1 | -3.100732e+01 | -36.213989 | 0.270181 | 0.094939 | 103.588206 | 0.270181 | 0.094939 | 103.588206 | 1 | True | 6 |
| 13 | KNeighborsUnif_BAG_L1 | -3.893895e+01 | -48.481624 | 4.230965 | 4.407574 | 0.017992 | 4.230965 | 4.407574 | 0.017992 | 1 | True | 1 |
# Remember to set all negative values to zero
predictions_time_search_5min = predictor_time_search.predict(df_test)
predictions_time_search_5min[predictions_time_search_5min<0] = 0
# Same submitting predictions
submission_new_features = pd.read_csv('sampleSubmission.csv')
submission_new_features["count"] = predictions_time_search_5min
submission_new_features.to_csv("submission_time_search_5min.csv", index=False)
!kaggle competitions submit -c bike-sharing-demand -f submission_time_search_5min.csv -m "5 min train submit"
!kaggle competitions submissions -c bike-sharing-demand
Successfully submitted to Bike Sharing Demand
c:\users\hp\anaconda3\envs\aws deep learning\lib\site-packages\cryptography\hazmat\backends\openssl\x509.py:17: CryptographyDeprecationWarning: This version of cryptography contains a temporary pyOpenSSL fallback path. Upgrade pyOpenSSL now. utils.DeprecatedIn35, 0%| | 0.00/194k [00:00<?, ?B/s] 4%|4 | 8.00k/194k [00:00<00:03, 51.6kB/s] 49%|####9 | 96.0k/194k [00:00<00:00, 441kB/s] 100%|##########| 194k/194k [00:00<00:00, 652kB/s] 100%|##########| 194k/194k [00:02<00:00, 96.4kB/s]
fileName date description status publicScore privateScore --------------------------------------- ------------------- -------------------------------------------- -------- ----------- ------------ submission_time_search_5min.csv 2021-12-11 10:12:57 5 min train submit complete 0.44793 0.44793 submission_submission_hp_v4.csv 2021-12-11 09:09:50 new hyperparameters V4 complete 0.48757 0.48757 submission_submission_hp_v4.csv 2021-12-11 08:52:06 new hyperparameters V4 complete 0.48080 0.48080 submission.csv 2021-12-11 08:34:12 first raw submission complete 1.40041 1.40041 submission_submission_hp_v4.csv 2021-12-10 18:11:50 new hyperparameters V4 complete 0.45257 0.45257 submission_submission_hp_v4.csv 2021-12-10 16:42:13 new hyperparameters V4 complete 0.46035 0.46035 submission_submission_RMSLE.csv 2021-12-10 14:44:00 Custome Eval Metric complete 0.45892 0.45892 submission_submission_hypov2.csv 2021-12-10 14:23:31 new features with hyperparameters V2 complete 0.45490 0.45490 submission_submission_hypov2.csv 2021-12-10 13:57:06 new features with hyperparameters V2 complete 0.57647 0.57647 submission_submission_hypo.csv 2021-12-10 10:07:22 new features with hyperparameters complete 0.45563 0.45563 submission_time_search_5min.csv 2021-12-10 09:23:07 5 min train submit complete 0.44797 0.44797 submission_import_features.csv 2021-12-08 13:55:39 Feature Importance complete 0.45194 0.45194 submission_import_features.csv 2021-12-08 13:53:11 Feature Importance complete 0.45414 0.45414 submission_import_features.csv 2021-12-08 13:51:11 Feature Importance complete 0.45749 0.45749 submission_import_features.csv 2021-12-08 13:48:53 Feature Importance complete 0.45210 0.45210 submission_import_features.csv 2021-12-08 13:44:55 Feature Importance complete 0.48275 0.48275 submission_import_features.csv 2021-12-08 13:42:28 Feature Importance complete 0.45753 0.45753 submission_import_features.csv 2021-12-08 13:39:01 Feature Importance complete 0.45939 0.45939 submission_new_featuresV3.csv 2021-12-08 12:44:41 new features_AdvancedV3 complete 0.45274 0.45274 submission_new_features_Advanced_V1.csv 2021-12-08 12:20:43 new features Advanced V1 complete 0.45810 0.45810 submission_new_features_Advanced_V1.csv 2021-12-08 12:20:12 new features complete 0.45810 0.45810 submission_new_features_log.csv 2021-12-08 12:07:08 NF - Model 2 (Basic Log Transform ) complete 0.50789 0.50789 submission_new_features_log.csv 2021-12-08 12:06:06 NF - Model 2 (Basic Log Transform ) complete 0.50674 0.50674 submission_new_features_log.csv 2021-12-08 11:34:53 NF - Model 2 (Basic Log Transform ) complete 0.50674 0.50674 submission_new_features.csv 2021-12-08 11:24:55 NF - Model 1 (Basic Time Catogricla data ) complete 0.50674 0.50674 submission.csv 2021-12-08 11:13:27 first raw submission complete 1.38952 1.38952 submission_new_hpo.csv 2021-12-08 11:06:33 new features with hyperparameters Tune complete 0.48748 0.48748 submission_new_hpo.csv 2021-12-08 09:14:10 new features with hyperparameters Tune complete 0.51858 0.51858 submission_new_hpo_ensV4.csv 2021-12-07 15:02:09 new features with hyperparameters Vקרדןםמ 4 complete 0.48961 0.48961 submission_new_hpo.csv 2021-12-07 14:29:38 new features with hyperparameters Tune complete 0.48338 0.48338 submission_new_featuresV3.csv 2021-12-07 14:00:06 new featuresV3 complete 0.45074 0.45074 submission_new_featuresV2.csv 2021-12-07 13:39:45 new features complete 0.50306 0.50306 submission_new_features.csv 2021-12-07 13:09:48 new features complete 0.51097 0.51097 submission.csv 2021-12-07 13:04:23 first raw submission complete 1.39309 1.39309 submission_new_hpo.csv 2021-12-07 11:12:13 new features with hyperparameters Tune complete 0.45509 0.45509 submission_new_featuresV3.csv 2021-12-07 10:53:43 new featuresV3 complete 0.45057 0.45057 submission_new_featuresV2.csv 2021-12-07 10:43:05 new features complete 0.47595 0.47595 submission_new_featuresV2.csv 2021-12-07 10:42:32 new features error None None submission_new_features.csv 2021-12-07 10:32:26 new features complete 0.50670 0.50670 submission.csv 2021-12-07 10:24:27 first raw submission complete 1.38989 1.38989 submission_new_hpo.csv 2021-12-07 09:08:34 new features with hyperparameters complete 0.46172 0.46172 submission_new_hpo.csv 2021-12-07 08:59:07 new features with hyperparameters complete 0.45760 0.45760 submission_new_features.csv 2021-12-06 20:57:01 new features complete 0.44755 0.44755 submission_new_features.csv 2021-12-06 20:50:18 new features complete 0.44577 0.44577 submission_new_features.csv 2021-12-06 20:45:43 new features complete 0.44592 0.44592 submission_RMSLE.csv 2021-12-06 17:57:57 Custome Eval Metric complete 0.46093 0.46093 submission_RMSLE.csv 2021-12-06 17:46:31 Custome Eval Metric complete 0.46093 0.46093 submission_RMSLE.csv 2021-12-06 17:25:04 Custome Eval Metric complete 0.46093 0.46093 submission_RMSLE.csv 2021-12-06 17:13:44 Custome Eval Metric complete 0.46093 0.46093 submission_new_hpo_ens.csv 2021-12-06 15:59:53 new features with hyperparameters complete 0.44685 0.44685
c:\users\hp\anaconda3\envs\aws deep learning\lib\site-packages\cryptography\hazmat\backends\openssl\x509.py:17: CryptographyDeprecationWarning: This version of cryptography contains a temporary pyOpenSSL fallback path. Upgrade pyOpenSSL now. utils.DeprecatedIn35,
## 6A - More Paramters tuning
import autogluon.core as ag
nn_options = { # specifies non-default hyperparameter values for neural network models
'num_epochs': 10, # number of training epochs (controls training time of NN models)
'learning_rate': ag.space.Real(1e-4, 1e-2, default=5e-4, log=True), # learning rate used in training (real-valued hyperparameter searched on log-scale)
'activation': ag.space.Categorical('relu', 'softrelu', 'tanh'), # activation function used in NN (categorical hyperparameter, default = first entry)
'layers': ag.space.Categorical([100], [1000], [200, 100], [300, 200, 100]), # each choice for categorical hyperparameter 'layers' corresponds to list of sizes for each NN layer to use
'dropout_prob': ag.space.Real(0.0, 0.5, default=0.1), # dropout probability (real-valued hyperparameter)
}
gbm_options = { # specifies non-default hyperparameter values for lightGBM gradient boosted trees
'num_boost_round': 10000, # number of boosting rounds (controls training time of GBM models)
#'num_leaves': ag.space.Int(lower=26, upper=66, default=36), # number of leaves in trees (integer hyperparameter)
}
time_limit = 15*60 # train various models for ~2 min
num_trials = 5 # try at most 5 different hyperparameter configurations for each type of model
search_strategy = 'auto' # to tune hyperparameters using Bayesian optimization routine with a local scheduler
hyperparameter_tune = { # HPO is not performed unless hyperparameter_tune_kwargs is specified
'num_trials': num_trials,
'scheduler' : 'local',
'searcher': search_strategy,
}
predictor_new_hpo_v2 = TabularPredictor(label='count', eval_metric='root_mean_squared_error').fit(
train_data=df_features, time_limit=time_limit,
hyperparameter_tune_kwargs = hyperparameter_tune,
presets="best_quality"
)
No path specified. Models will be saved in: "AutogluonModels/ag-20211210_140936\"
Presets specified: ['best_quality']
Warning: hyperparameter tuning is currently experimental and may cause the process to hang.
Beginning AutoGluon training ... Time limit = 900s
AutoGluon will save models to "AutogluonModels/ag-20211210_140936\"
AutoGluon Version: 0.3.1
Train Data Rows: 10886
Train Data Columns: 25
Preprocessing data ...
AutoGluon infers your prediction problem is: 'regression' (because dtype of label-column == float and many unique label-values observed).
Label info (max, min, mean, stddev): (977.0, 1.0, 191.57413, 181.14445)
If 'regression' is not the correct problem_type, please manually specify the problem_type argument in fit() (You may specify problem_type as one of: ['binary', 'multiclass', 'regression'])
Using Feature Generators to preprocess the data ...
Fitting AutoMLPipelineFeatureGenerator...
Available Memory: 1829.94 MB
Train Data (Original) Memory Usage: 1.72 MB (0.1% of available memory)
Inferring data type of each feature based on column values. Set feature_metadata_in to manually specify special dtypes of the features.
Stage 1 Generators:
Fitting AsTypeFeatureGenerator...
Note: Converting 1 features to boolean dtype as they only contain 2 unique values.
Stage 2 Generators:
Fitting FillNaFeatureGenerator...
Stage 3 Generators:
Fitting IdentityFeatureGenerator...
Fitting CategoryFeatureGenerator...
Fitting CategoryMemoryMinimizeFeatureGenerator...
Fitting DatetimeFeatureGenerator...
Stage 4 Generators:
Fitting DropUniqueFeatureGenerator...
Types of features in original data (raw dtype, special dtypes):
('category', []) : 6 | ['hour', 'workingday', 'weather', 'weekday', 'day', ...]
('datetime', []) : 2 | ['datetime', 'date']
('float', []) : 16 | ['shift_1h', 'shift_7', 'shift_1', 'rollind_24h_std', 'shift_5h', ...]
('int', []) : 1 | ['humidity']
Types of features in processed data (raw dtype, special dtypes):
('category', []) : 5 | ['hour', 'weather', 'weekday', 'day', 'month']
('float', []) : 16 | ['shift_1h', 'shift_7', 'shift_1', 'rollind_24h_std', 'shift_5h', ...]
('int', []) : 1 | ['humidity']
('int', ['bool']) : 1 | ['workingday']
('int', ['datetime_as_int']) : 2 | ['datetime', 'date']
0.4s = Fit runtime
25 features in original data used to generate 25 features in processed data.
Train Data (Processed) Memory Usage: 1.72 MB (0.1% of available memory)
Data preprocessing and feature engineering runtime = 0.46s ...
AutoGluon will gauge predictive performance using evaluation metric: 'root_mean_squared_error'
To change this, specify the eval_metric argument of fit()
AutoGluon will fit 2 stack levels (L1 to L2) ...
Fitting 11 L1 models ...
Hyperparameter tuning model: KNeighborsUnif_BAG_L1 ...
Fitted model: KNeighborsUnif_BAG_L1\T0 ...
-48.4816 = Validation score (root_mean_squared_error)
0.02s = Training runtime
9.44s = Validation runtime
Hyperparameter tuning model: KNeighborsDist_BAG_L1 ...
Fitted model: KNeighborsDist_BAG_L1\T0 ...
-47.8773 = Validation score (root_mean_squared_error)
0.02s = Training runtime
10.03s = Validation runtime
Hyperparameter tuning model: LightGBMXT_BAG_L1 ...
Warning: Exception caused LightGBMXT_BAG_L1 to fail during hyperparameter tuning... Skipping this model.
Traceback (most recent call last):
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\tabular\trainer\abstract_trainer.py", line 1153, in _train_single_full
hpo_models, hpo_model_performances, hpo_results = model.hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=hyperparameter_tune_kwargs, **model_fit_kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\stacker_ensemble_model.py", line 179, in _hyperparameter_tune
return super()._hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=scheduler_options, preprocess_kwargs=preprocess_kwargs, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\bagged_ensemble_model.py", line 801, in _hyperparameter_tune
hpo_models, hpo_model_performances, hpo_results = self.model_base.hyperparameter_tune(X=X_fold, y=y_fold, X_val=X_val_fold, y_val=y_val_fold, scheduler_options=scheduler_options, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\tabular\models\lgb\lgb_model.py", line 391, in _hyperparameter_tune
scheduler.run()
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\scheduler\seq_scheduler.py", line 152, in run
for i in (tqdm(r) if self.num_trials < 1000 else r):
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\notebook.py", line 242, in __init__
self.container = self.status_printer(self.fp, total, self.desc, self.ncols)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\notebook.py", line 116, in status_printer
"IProgress not found. Please update jupyter and ipywidgets."
ImportError: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
Exception ignored in: <bound method tqdm.__del__ of <tqdm.auto.tqdm object at 0x0000029783522240>>
Traceback (most recent call last):
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\std.py", line 1147, in __del__
self.close()
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\notebook.py", line 286, in close
self.disp(bar_style='danger', check_delay=False)
AttributeError: 'tqdm' object has no attribute 'disp'
Hyperparameter tuning model: LightGBM_BAG_L1 ...
Warning: Exception caused LightGBM_BAG_L1 to fail during hyperparameter tuning... Skipping this model.
Traceback (most recent call last):
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\tabular\trainer\abstract_trainer.py", line 1153, in _train_single_full
hpo_models, hpo_model_performances, hpo_results = model.hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=hyperparameter_tune_kwargs, **model_fit_kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\stacker_ensemble_model.py", line 179, in _hyperparameter_tune
return super()._hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=scheduler_options, preprocess_kwargs=preprocess_kwargs, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\bagged_ensemble_model.py", line 801, in _hyperparameter_tune
hpo_models, hpo_model_performances, hpo_results = self.model_base.hyperparameter_tune(X=X_fold, y=y_fold, X_val=X_val_fold, y_val=y_val_fold, scheduler_options=scheduler_options, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\tabular\models\lgb\lgb_model.py", line 391, in _hyperparameter_tune
scheduler.run()
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\scheduler\seq_scheduler.py", line 152, in run
for i in (tqdm(r) if self.num_trials < 1000 else r):
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\notebook.py", line 242, in __init__
self.container = self.status_printer(self.fp, total, self.desc, self.ncols)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\notebook.py", line 116, in status_printer
"IProgress not found. Please update jupyter and ipywidgets."
ImportError: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
Exception ignored in: <bound method tqdm.__del__ of <tqdm.auto.tqdm object at 0x0000029743B08048>>
Traceback (most recent call last):
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\std.py", line 1147, in __del__
self.close()
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\notebook.py", line 286, in close
self.disp(bar_style='danger', check_delay=False)
AttributeError: 'tqdm' object has no attribute 'disp'
Hyperparameter tuning model: RandomForestMSE_BAG_L1 ...
Fitted model: RandomForestMSE_BAG_L1\T0 ...
-39.9508 = Validation score (root_mean_squared_error)
19.22s = Training runtime
0.92s = Validation runtime
Hyperparameter tuning model: CatBoost_BAG_L1 ...
Warning: Exception caused CatBoost_BAG_L1 to fail during hyperparameter tuning... Skipping this model.
Traceback (most recent call last):
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\tabular\trainer\abstract_trainer.py", line 1153, in _train_single_full
hpo_models, hpo_model_performances, hpo_results = model.hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=hyperparameter_tune_kwargs, **model_fit_kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\stacker_ensemble_model.py", line 179, in _hyperparameter_tune
return super()._hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=scheduler_options, preprocess_kwargs=preprocess_kwargs, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\bagged_ensemble_model.py", line 801, in _hyperparameter_tune
hpo_models, hpo_model_performances, hpo_results = self.model_base.hyperparameter_tune(X=X_fold, y=y_fold, X_val=X_val_fold, y_val=y_val_fold, scheduler_options=scheduler_options, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 887, in _hyperparameter_tune
scheduler.run()
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\scheduler\seq_scheduler.py", line 152, in run
for i in (tqdm(r) if self.num_trials < 1000 else r):
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\notebook.py", line 242, in __init__
self.container = self.status_printer(self.fp, total, self.desc, self.ncols)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\notebook.py", line 116, in status_printer
"IProgress not found. Please update jupyter and ipywidgets."
ImportError: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
Exception ignored in: <bound method tqdm.__del__ of <tqdm.auto.tqdm object at 0x00000297446C3B70>>
Traceback (most recent call last):
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\std.py", line 1147, in __del__
self.close()
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\notebook.py", line 286, in close
self.disp(bar_style='danger', check_delay=False)
AttributeError: 'tqdm' object has no attribute 'disp'
Hyperparameter tuning model: ExtraTreesMSE_BAG_L1 ...
Fitted model: ExtraTreesMSE_BAG_L1\T0 ...
-38.6335 = Validation score (root_mean_squared_error)
5.98s = Training runtime
1.0s = Validation runtime
Hyperparameter tuning model: NeuralNetFastAI_BAG_L1 ...
Ran out of time, stopping training early. (Stopping on epoch 3)
Fitted model: NeuralNetFastAI_BAG_L1\T0 ...
-47.6783 = Validation score (root_mean_squared_error)
3.65s = Training runtime
0.06s = Validation runtime
Hyperparameter tuning model: XGBoost_BAG_L1 ...
Warning: Exception caused XGBoost_BAG_L1 to fail during hyperparameter tuning... Skipping this model.
Traceback (most recent call last):
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\tabular\trainer\abstract_trainer.py", line 1153, in _train_single_full
hpo_models, hpo_model_performances, hpo_results = model.hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=hyperparameter_tune_kwargs, **model_fit_kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\stacker_ensemble_model.py", line 179, in _hyperparameter_tune
return super()._hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=scheduler_options, preprocess_kwargs=preprocess_kwargs, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\bagged_ensemble_model.py", line 801, in _hyperparameter_tune
hpo_models, hpo_model_performances, hpo_results = self.model_base.hyperparameter_tune(X=X_fold, y=y_fold, X_val=X_val_fold, y_val=y_val_fold, scheduler_options=scheduler_options, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 887, in _hyperparameter_tune
scheduler.run()
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\scheduler\seq_scheduler.py", line 152, in run
for i in (tqdm(r) if self.num_trials < 1000 else r):
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\notebook.py", line 242, in __init__
self.container = self.status_printer(self.fp, total, self.desc, self.ncols)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\notebook.py", line 116, in status_printer
"IProgress not found. Please update jupyter and ipywidgets."
ImportError: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
Exception ignored in: <bound method tqdm.__del__ of <tqdm.auto.tqdm object at 0x000002977FE98550>>
Traceback (most recent call last):
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\std.py", line 1147, in __del__
self.close()
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\notebook.py", line 286, in close
self.disp(bar_style='danger', check_delay=False)
AttributeError: 'tqdm' object has no attribute 'disp'
Hyperparameter tuning model: NeuralNetMXNet_BAG_L1 ...
Warning: Exception caused NeuralNetMXNet_BAG_L1 to fail during hyperparameter tuning... Skipping this model.
Traceback (most recent call last):
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\tabular\trainer\abstract_trainer.py", line 1153, in _train_single_full
hpo_models, hpo_model_performances, hpo_results = model.hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=hyperparameter_tune_kwargs, **model_fit_kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\stacker_ensemble_model.py", line 179, in _hyperparameter_tune
return super()._hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=scheduler_options, preprocess_kwargs=preprocess_kwargs, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\bagged_ensemble_model.py", line 801, in _hyperparameter_tune
hpo_models, hpo_model_performances, hpo_results = self.model_base.hyperparameter_tune(X=X_fold, y=y_fold, X_val=X_val_fold, y_val=y_val_fold, scheduler_options=scheduler_options, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\tabular\models\tabular_nn\tabular_nn_model.py", line 749, in _hyperparameter_tune
scheduler.run()
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\scheduler\seq_scheduler.py", line 152, in run
for i in (tqdm(r) if self.num_trials < 1000 else r):
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\notebook.py", line 242, in __init__
self.container = self.status_printer(self.fp, total, self.desc, self.ncols)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\notebook.py", line 116, in status_printer
"IProgress not found. Please update jupyter and ipywidgets."
ImportError: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
Exception ignored in: <bound method tqdm.__del__ of <tqdm.auto.tqdm object at 0x000002977FF21A20>>
Traceback (most recent call last):
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\std.py", line 1147, in __del__
self.close()
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\notebook.py", line 286, in close
self.disp(bar_style='danger', check_delay=False)
AttributeError: 'tqdm' object has no attribute 'disp'
Fitting model: LightGBMLarge_BAG_L1 ... Training model for up to 4.91s of the 817.7s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
Ran out of time, early stopping on iteration 164. Best iteration is:
[164] train_set's rmse: 16.0395 valid_set's rmse: 35.0758
-35.0758 = Validation score (root_mean_squared_error)
4.1s = Training runtime
0.04s = Validation runtime
Fitting model: KNeighborsUnif_BAG_L1\T0 ... Training model for up to 513.4s of the 813.39s of remaining time.
-48.4816 = Validation score (root_mean_squared_error)
0.02s = Training runtime
9.44s = Validation runtime
Fitting model: KNeighborsDist_BAG_L1\T0 ... Training model for up to 513.37s of the 813.36s of remaining time.
-47.8773 = Validation score (root_mean_squared_error)
0.02s = Training runtime
10.03s = Validation runtime
Fitting model: RandomForestMSE_BAG_L1\T0 ... Training model for up to 513.35s of the 813.34s of remaining time.
-39.9508 = Validation score (root_mean_squared_error)
19.22s = Training runtime
0.92s = Validation runtime
Fitting model: ExtraTreesMSE_BAG_L1\T0 ... Training model for up to 513.32s of the 813.3s of remaining time.
-38.6335 = Validation score (root_mean_squared_error)
5.98s = Training runtime
1.0s = Validation runtime
Fitting model: NeuralNetFastAI_BAG_L1\T0 ... Training model for up to 513.29s of the 813.27s of remaining time.
-32.8541 = Validation score (root_mean_squared_error)
243.52s = Training runtime
0.79s = Validation runtime
Fitting model: LightGBMLarge_BAG_L1 ... Training model for up to 272.3s of the 572.28s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000] train_set's rmse: 2.32004 valid_set's rmse: 32.4143
Ran out of time, early stopping on iteration 1480. Best iteration is:
[1282] train_set's rmse: 1.35623 valid_set's rmse: 32.3944
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000] train_set's rmse: 2.31283 valid_set's rmse: 34.4461
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000] train_set's rmse: 2.39631 valid_set's rmse: 35.0219
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
-35.2255 = Validation score (root_mean_squared_error)
134.37s = Training runtime
0.79s = Validation runtime
Completed 1/20 k-fold bagging repeats ...
Fitting model: WeightedEnsemble_L2 ... Training model for up to 360.0s of the 438.05s of remaining time.
-31.629 = Validation score (root_mean_squared_error)
0.39s = Training runtime
0.0s = Validation runtime
Fitting 9 L2 models ...
Hyperparameter tuning model: LightGBMXT_BAG_L2 ...
Warning: Exception caused LightGBMXT_BAG_L2 to fail during hyperparameter tuning... Skipping this model.
Traceback (most recent call last):
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\tabular\trainer\abstract_trainer.py", line 1153, in _train_single_full
hpo_models, hpo_model_performances, hpo_results = model.hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=hyperparameter_tune_kwargs, **model_fit_kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\stacker_ensemble_model.py", line 179, in _hyperparameter_tune
return super()._hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=scheduler_options, preprocess_kwargs=preprocess_kwargs, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\bagged_ensemble_model.py", line 801, in _hyperparameter_tune
hpo_models, hpo_model_performances, hpo_results = self.model_base.hyperparameter_tune(X=X_fold, y=y_fold, X_val=X_val_fold, y_val=y_val_fold, scheduler_options=scheduler_options, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\tabular\models\lgb\lgb_model.py", line 391, in _hyperparameter_tune
scheduler.run()
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\scheduler\seq_scheduler.py", line 152, in run
for i in (tqdm(r) if self.num_trials < 1000 else r):
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\notebook.py", line 242, in __init__
self.container = self.status_printer(self.fp, total, self.desc, self.ncols)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\notebook.py", line 116, in status_printer
"IProgress not found. Please update jupyter and ipywidgets."
ImportError: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
Exception ignored in: <bound method tqdm.__del__ of <tqdm.auto.tqdm object at 0x000002977FF214A8>>
Traceback (most recent call last):
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\std.py", line 1147, in __del__
self.close()
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\notebook.py", line 286, in close
self.disp(bar_style='danger', check_delay=False)
AttributeError: 'tqdm' object has no attribute 'disp'
Hyperparameter tuning model: LightGBM_BAG_L2 ...
Warning: Exception caused LightGBM_BAG_L2 to fail during hyperparameter tuning... Skipping this model.
Traceback (most recent call last):
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\tabular\trainer\abstract_trainer.py", line 1153, in _train_single_full
hpo_models, hpo_model_performances, hpo_results = model.hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=hyperparameter_tune_kwargs, **model_fit_kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\stacker_ensemble_model.py", line 179, in _hyperparameter_tune
return super()._hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=scheduler_options, preprocess_kwargs=preprocess_kwargs, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\bagged_ensemble_model.py", line 801, in _hyperparameter_tune
hpo_models, hpo_model_performances, hpo_results = self.model_base.hyperparameter_tune(X=X_fold, y=y_fold, X_val=X_val_fold, y_val=y_val_fold, scheduler_options=scheduler_options, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\tabular\models\lgb\lgb_model.py", line 391, in _hyperparameter_tune
scheduler.run()
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\scheduler\seq_scheduler.py", line 152, in run
for i in (tqdm(r) if self.num_trials < 1000 else r):
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\notebook.py", line 242, in __init__
self.container = self.status_printer(self.fp, total, self.desc, self.ncols)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\notebook.py", line 116, in status_printer
"IProgress not found. Please update jupyter and ipywidgets."
ImportError: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
Exception ignored in: <bound method tqdm.__del__ of <tqdm.auto.tqdm object at 0x000002977FF21710>>
Traceback (most recent call last):
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\std.py", line 1147, in __del__
self.close()
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\notebook.py", line 286, in close
self.disp(bar_style='danger', check_delay=False)
AttributeError: 'tqdm' object has no attribute 'disp'
Hyperparameter tuning model: RandomForestMSE_BAG_L2 ...
Fitted model: RandomForestMSE_BAG_L2\T0 ...
-32.5832 = Validation score (root_mean_squared_error)
17.54s = Training runtime
0.95s = Validation runtime
Hyperparameter tuning model: CatBoost_BAG_L2 ...
Warning: Exception caused CatBoost_BAG_L2 to fail during hyperparameter tuning... Skipping this model.
Traceback (most recent call last):
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\tabular\trainer\abstract_trainer.py", line 1153, in _train_single_full
hpo_models, hpo_model_performances, hpo_results = model.hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=hyperparameter_tune_kwargs, **model_fit_kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\stacker_ensemble_model.py", line 179, in _hyperparameter_tune
return super()._hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=scheduler_options, preprocess_kwargs=preprocess_kwargs, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\bagged_ensemble_model.py", line 801, in _hyperparameter_tune
hpo_models, hpo_model_performances, hpo_results = self.model_base.hyperparameter_tune(X=X_fold, y=y_fold, X_val=X_val_fold, y_val=y_val_fold, scheduler_options=scheduler_options, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 887, in _hyperparameter_tune
scheduler.run()
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\scheduler\seq_scheduler.py", line 152, in run
for i in (tqdm(r) if self.num_trials < 1000 else r):
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\notebook.py", line 242, in __init__
self.container = self.status_printer(self.fp, total, self.desc, self.ncols)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\notebook.py", line 116, in status_printer
"IProgress not found. Please update jupyter and ipywidgets."
ImportError: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
Exception ignored in: <bound method tqdm.__del__ of <tqdm.auto.tqdm object at 0x000002977FEA0518>>
Traceback (most recent call last):
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\std.py", line 1147, in __del__
self.close()
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\notebook.py", line 286, in close
self.disp(bar_style='danger', check_delay=False)
AttributeError: 'tqdm' object has no attribute 'disp'
Hyperparameter tuning model: ExtraTreesMSE_BAG_L2 ...
Fitted model: ExtraTreesMSE_BAG_L2\T0 ...
-32.0732 = Validation score (root_mean_squared_error)
5.69s = Training runtime
0.95s = Validation runtime
Hyperparameter tuning model: NeuralNetFastAI_BAG_L2 ...
Ran out of time, stopping training early. (Stopping on epoch 4)
Fitted model: NeuralNetFastAI_BAG_L2\T0 ...
-36.1323 = Validation score (root_mean_squared_error)
3.45s = Training runtime
0.05s = Validation runtime
Hyperparameter tuning model: XGBoost_BAG_L2 ...
Warning: Exception caused XGBoost_BAG_L2 to fail during hyperparameter tuning... Skipping this model.
Traceback (most recent call last):
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\tabular\trainer\abstract_trainer.py", line 1153, in _train_single_full
hpo_models, hpo_model_performances, hpo_results = model.hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=hyperparameter_tune_kwargs, **model_fit_kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\stacker_ensemble_model.py", line 179, in _hyperparameter_tune
return super()._hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=scheduler_options, preprocess_kwargs=preprocess_kwargs, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\bagged_ensemble_model.py", line 801, in _hyperparameter_tune
hpo_models, hpo_model_performances, hpo_results = self.model_base.hyperparameter_tune(X=X_fold, y=y_fold, X_val=X_val_fold, y_val=y_val_fold, scheduler_options=scheduler_options, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 887, in _hyperparameter_tune
scheduler.run()
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\scheduler\seq_scheduler.py", line 152, in run
for i in (tqdm(r) if self.num_trials < 1000 else r):
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\notebook.py", line 242, in __init__
self.container = self.status_printer(self.fp, total, self.desc, self.ncols)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\notebook.py", line 116, in status_printer
"IProgress not found. Please update jupyter and ipywidgets."
ImportError: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
Exception ignored in: <bound method tqdm.__del__ of <tqdm.auto.tqdm object at 0x0000029783467C50>>
Traceback (most recent call last):
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\std.py", line 1147, in __del__
self.close()
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\notebook.py", line 286, in close
self.disp(bar_style='danger', check_delay=False)
AttributeError: 'tqdm' object has no attribute 'disp'
Hyperparameter tuning model: NeuralNetMXNet_BAG_L2 ...
Warning: Exception caused NeuralNetMXNet_BAG_L2 to fail during hyperparameter tuning... Skipping this model.
Traceback (most recent call last):
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\tabular\trainer\abstract_trainer.py", line 1153, in _train_single_full
hpo_models, hpo_model_performances, hpo_results = model.hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=hyperparameter_tune_kwargs, **model_fit_kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\stacker_ensemble_model.py", line 179, in _hyperparameter_tune
return super()._hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=scheduler_options, preprocess_kwargs=preprocess_kwargs, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\bagged_ensemble_model.py", line 801, in _hyperparameter_tune
hpo_models, hpo_model_performances, hpo_results = self.model_base.hyperparameter_tune(X=X_fold, y=y_fold, X_val=X_val_fold, y_val=y_val_fold, scheduler_options=scheduler_options, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\tabular\models\tabular_nn\tabular_nn_model.py", line 749, in _hyperparameter_tune
scheduler.run()
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\scheduler\seq_scheduler.py", line 152, in run
for i in (tqdm(r) if self.num_trials < 1000 else r):
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\notebook.py", line 242, in __init__
self.container = self.status_printer(self.fp, total, self.desc, self.ncols)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\notebook.py", line 116, in status_printer
"IProgress not found. Please update jupyter and ipywidgets."
ImportError: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
Exception ignored in: <bound method tqdm.__del__ of <tqdm.auto.tqdm object at 0x0000029746A417B8>>
Traceback (most recent call last):
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\std.py", line 1147, in __del__
self.close()
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\notebook.py", line 286, in close
self.disp(bar_style='danger', check_delay=False)
AttributeError: 'tqdm' object has no attribute 'disp'
Fitting model: LightGBMLarge_BAG_L2 ... Training model for up to 4.38s of the 398.79s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
-33.9671 = Validation score (root_mean_squared_error)
3.51s = Training runtime
0.02s = Validation runtime
Fitting model: RandomForestMSE_BAG_L2\T0 ... Training model for up to 395.17s of the 395.16s of remaining time.
-32.5832 = Validation score (root_mean_squared_error)
17.54s = Training runtime
0.95s = Validation runtime
Fitting model: ExtraTreesMSE_BAG_L2\T0 ... Training model for up to 395.14s of the 395.13s of remaining time.
-32.0732 = Validation score (root_mean_squared_error)
5.69s = Training runtime
0.95s = Validation runtime
Fitting model: NeuralNetFastAI_BAG_L2\T0 ... Training model for up to 395.11s of the 395.1s of remaining time.
-32.452 = Validation score (root_mean_squared_error)
147.41s = Training runtime
0.5s = Validation runtime
Fitting model: LightGBMLarge_BAG_L2 ... Training model for up to 250.43s of the 250.42s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
-33.0195 = Validation score (root_mean_squared_error)
28.02s = Training runtime
0.2s = Validation runtime
Completed 1/20 k-fold bagging repeats ...
Fitting model: WeightedEnsemble_L3 ... Training model for up to 360.0s of the 225.21s of remaining time.
-31.5865 = Validation score (root_mean_squared_error)
0.33s = Training runtime
0.0s = Validation runtime
AutoGluon training complete, total runtime = 675.16s ...
TabularPredictor saved. To load, use: predictor = TabularPredictor.load("AutogluonModels/ag-20211210_140936\")
predictor_new_hpo_v2.leaderboard(df_features, silent=True)
| model | score_test | score_val | pred_time_test | pred_time_val | fit_time | pred_time_test_marginal | pred_time_val_marginal | fit_time_marginal | stack_level | can_infer | fit_order | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KNeighborsDist_BAG_L1\T0 | -2.068240e-07 | -47.877308 | 4.871578 | 10.032989 | 0.018990 | 4.871578 | 10.032989 | 0.018990 | 1 | True | 2 |
| 1 | LightGBMLarge_BAG_L1 | -8.014737e+00 | -35.225451 | 4.323074 | 0.792816 | 134.373873 | 4.323074 | 0.792816 | 134.373873 | 1 | True | 6 |
| 2 | ExtraTreesMSE_BAG_L1\T0 | -1.424137e+01 | -38.633465 | 1.109482 | 0.995581 | 5.977026 | 1.109482 | 0.995581 | 5.977026 | 1 | True | 4 |
| 3 | LightGBMLarge_BAG_L2 | -1.433855e+01 | -33.019492 | 20.289999 | 23.174163 | 431.150962 | 1.347229 | 0.197875 | 28.024499 | 2 | True | 11 |
| 4 | RandomForestMSE_BAG_L1\T0 | -1.476350e+01 | -39.950767 | 1.041012 | 0.922008 | 19.216448 | 1.041012 | 0.922008 | 19.216448 | 1 | True | 3 |
| 5 | WeightedEnsemble_L3 | -1.537694e+01 | -31.586497 | 25.311931 | 25.573819 | 602.117391 | 0.010432 | 0.000000 | 0.325811 | 3 | True | 12 |
| 6 | ExtraTreesMSE_BAG_L2\T0 | -1.578517e+01 | -32.073201 | 19.988609 | 23.927739 | 408.816188 | 1.045839 | 0.951452 | 5.689725 | 2 | True | 9 |
| 7 | RandomForestMSE_BAG_L2\T0 | -1.579074e+01 | -32.583210 | 19.961134 | 23.924740 | 420.671361 | 1.018364 | 0.948453 | 17.544898 | 2 | True | 8 |
| 8 | NeuralNetFastAI_BAG_L2\T0 | -1.658940e+01 | -32.452041 | 21.890068 | 23.476038 | 550.532458 | 2.947298 | 0.499751 | 147.405995 | 2 | True | 10 |
| 9 | WeightedEnsemble_L2 | -1.779631e+01 | -31.629045 | 11.696228 | 11.617661 | 378.296793 | 0.011012 | 0.000980 | 0.388791 | 2 | True | 7 |
| 10 | NeuralNetFastAI_BAG_L1\T0 | -2.423508e+01 | -32.854140 | 2.490565 | 0.790876 | 243.515140 | 2.490565 | 0.790876 | 243.515140 | 1 | True | 5 |
| 11 | KNeighborsUnif_BAG_L1\T0 | -3.893895e+01 | -48.481624 | 5.107059 | 9.442017 | 0.024986 | 5.107059 | 9.442017 | 0.024986 | 1 | True | 1 |
# Remember to set all negative values to zero
predictor_hpo_v2 = predictor_new_hpo_v2.predict(df_test)
predictor_hpo_v2[predictor_hpo_v2<0] = 0
# Same submitting predictions
submission_hypo = pd.read_csv('sampleSubmission.csv')
submission_hypo["count"] = predictor_hpo_v2
submission_hypo.to_csv("submission_submission_hypov2.csv", index=False)
!kaggle competitions submit -c bike-sharing-demand -f submission_submission_hypov2.csv -m "new features with hyperparameters V2 "
!kaggle competitions submissions -c bike-sharing-demand
Successfully submitted to Bike Sharing Demand
c:\users\hp\anaconda3\envs\aws deep learning\lib\site-packages\cryptography\hazmat\backends\openssl\x509.py:17: CryptographyDeprecationWarning: This version of cryptography contains a temporary pyOpenSSL fallback path. Upgrade pyOpenSSL now. utils.DeprecatedIn35, 0%| | 0.00/194k [00:00<?, ?B/s] 4%|4 | 8.00k/194k [00:00<00:03, 53.3kB/s] 49%|####9 | 96.0k/194k [00:00<00:00, 447kB/s] 100%|##########| 194k/194k [00:00<00:00, 658kB/s] 100%|##########| 194k/194k [00:02<00:00, 99.3kB/s]
fileName date description status publicScore privateScore --------------------------------------- ------------------- -------------------------------------------- -------- ----------- ------------ submission_submission_hypov2.csv 2021-12-10 14:23:31 new features with hyperparameters V2 complete 0.45490 0.45490 submission_submission_hypov2.csv 2021-12-10 13:57:06 new features with hyperparameters V2 complete 0.57647 0.57647 submission_submission_hypo.csv 2021-12-10 10:07:22 new features with hyperparameters complete 0.45563 0.45563 submission_time_search_5min.csv 2021-12-10 09:23:07 5 min train submit complete 0.44797 0.44797 submission_import_features.csv 2021-12-08 13:55:39 Feature Importance complete 0.45194 0.45194 submission_import_features.csv 2021-12-08 13:53:11 Feature Importance complete 0.45414 0.45414 submission_import_features.csv 2021-12-08 13:51:11 Feature Importance complete 0.45749 0.45749 submission_import_features.csv 2021-12-08 13:48:53 Feature Importance complete 0.45210 0.45210 submission_import_features.csv 2021-12-08 13:44:55 Feature Importance complete 0.48275 0.48275 submission_import_features.csv 2021-12-08 13:42:28 Feature Importance complete 0.45753 0.45753 submission_import_features.csv 2021-12-08 13:39:01 Feature Importance complete 0.45939 0.45939 submission_new_featuresV3.csv 2021-12-08 12:44:41 new features_AdvancedV3 complete 0.45274 0.45274 submission_new_features_Advanced_V1.csv 2021-12-08 12:20:43 new features Advanced V1 complete 0.45810 0.45810 submission_new_features_Advanced_V1.csv 2021-12-08 12:20:12 new features complete 0.45810 0.45810 submission_new_features_log.csv 2021-12-08 12:07:08 NF - Model 2 (Basic Log Transform ) complete 0.50789 0.50789 submission_new_features_log.csv 2021-12-08 12:06:06 NF - Model 2 (Basic Log Transform ) complete 0.50674 0.50674 submission_new_features_log.csv 2021-12-08 11:34:53 NF - Model 2 (Basic Log Transform ) complete 0.50674 0.50674 submission_new_features.csv 2021-12-08 11:24:55 NF - Model 1 (Basic Time Catogricla data ) complete 0.50674 0.50674 submission.csv 2021-12-08 11:13:27 first raw submission complete 1.38952 1.38952 submission_new_hpo.csv 2021-12-08 11:06:33 new features with hyperparameters Tune complete 0.48748 0.48748 submission_new_hpo.csv 2021-12-08 09:14:10 new features with hyperparameters Tune complete 0.51858 0.51858 submission_new_hpo_ensV4.csv 2021-12-07 15:02:09 new features with hyperparameters Vקרדןםמ 4 complete 0.48961 0.48961 submission_new_hpo.csv 2021-12-07 14:29:38 new features with hyperparameters Tune complete 0.48338 0.48338 submission_new_featuresV3.csv 2021-12-07 14:00:06 new featuresV3 complete 0.45074 0.45074 submission_new_featuresV2.csv 2021-12-07 13:39:45 new features complete 0.50306 0.50306 submission_new_features.csv 2021-12-07 13:09:48 new features complete 0.51097 0.51097 submission.csv 2021-12-07 13:04:23 first raw submission complete 1.39309 1.39309 submission_new_hpo.csv 2021-12-07 11:12:13 new features with hyperparameters Tune complete 0.45509 0.45509 submission_new_featuresV3.csv 2021-12-07 10:53:43 new featuresV3 complete 0.45057 0.45057 submission_new_featuresV2.csv 2021-12-07 10:43:05 new features complete 0.47595 0.47595 submission_new_featuresV2.csv 2021-12-07 10:42:32 new features error None None submission_new_features.csv 2021-12-07 10:32:26 new features complete 0.50670 0.50670 submission.csv 2021-12-07 10:24:27 first raw submission complete 1.38989 1.38989 submission_new_hpo.csv 2021-12-07 09:08:34 new features with hyperparameters complete 0.46172 0.46172 submission_new_hpo.csv 2021-12-07 08:59:07 new features with hyperparameters complete 0.45760 0.45760 submission_new_features.csv 2021-12-06 20:57:01 new features complete 0.44755 0.44755 submission_new_features.csv 2021-12-06 20:50:18 new features complete 0.44577 0.44577 submission_new_features.csv 2021-12-06 20:45:43 new features complete 0.44592 0.44592 submission_RMSLE.csv 2021-12-06 17:57:57 Custome Eval Metric complete 0.46093 0.46093 submission_RMSLE.csv 2021-12-06 17:46:31 Custome Eval Metric complete 0.46093 0.46093 submission_RMSLE.csv 2021-12-06 17:25:04 Custome Eval Metric complete 0.46093 0.46093 submission_RMSLE.csv 2021-12-06 17:13:44 Custome Eval Metric complete 0.46093 0.46093 submission_new_hpo_ens.csv 2021-12-06 15:59:53 new features with hyperparameters complete 0.44685 0.44685 submission_new_hpo_ens.csv 2021-12-06 15:55:19 new features with hyperparameters complete 0.47243 0.47243 submission_new_hpo_ens.csv 2021-12-06 15:14:56 new features with hyperparameters complete 0.44685 0.44685 submission_new_hpo_ens.csv 2021-12-06 15:11:35 new features with hyperparameters complete 0.47219 0.47219 submission_new_hpo_ens.csv 2021-12-06 15:03:25 new features with hyperparameters complete 0.44685 0.44685 submission_new_hpo.csv 2021-12-06 15:02:29 new features with hyperparameters complete 0.44685 0.44685 submission_new_hpo.csv 2021-12-06 13:32:40 new features with hyperparameters complete 0.44575 0.44575 submission_new_hpo.csv 2021-12-06 12:22:42 new features with hyperparameters complete 0.45943 0.45943
c:\users\hp\anaconda3\envs\aws deep learning\lib\site-packages\cryptography\hazmat\backends\openssl\x509.py:17: CryptographyDeprecationWarning: This version of cryptography contains a temporary pyOpenSSL fallback path. Upgrade pyOpenSSL now. utils.DeprecatedIn35,
import sklearn.metrics
from autogluon.core.metrics import make_scorer
ag_mean_squared_log_error_scorer = make_scorer(name='mean_squared_log_error',
score_func=sklearn.metrics.mean_squared_log_error,
optimum=0,
greater_is_better=False)
time_limit = 20*60 # train various models for ~6 min
num_trials = 150 # try at most 5 different hyperparameter configurations for each type of model
search_strategy = 'auto' # to tune hyperparameters using Bayesian optimization routine with a local scheduler
hyperparameter_tune_kwargs = { # HPO is not performed unless hyperparameter_tune_kwargs is specified
'num_trials': num_trials,
'scheduler' : 'local',
'searcher': search_strategy,
}
predictor_RMSLE = TabularPredictor(label="count",eval_metric=ag_mean_squared_log_error_scorer).fit(
train_data=df_features,
time_limit=time_limit,
presets="best_quality",
hyperparameter_tune_kwargs=hyperparameter_tune_kwargs,
#num_bag_folds=3, num_bag_sets=2, num_stack_levels=1
)
No path specified. Models will be saved in: "AutogluonModels/ag-20211210_143954\"
Presets specified: ['best_quality']
Warning: hyperparameter tuning is currently experimental and may cause the process to hang.
Beginning AutoGluon training ... Time limit = 1200s
AutoGluon will save models to "AutogluonModels/ag-20211210_143954\"
AutoGluon Version: 0.3.1
Train Data Rows: 10886
Train Data Columns: 25
Preprocessing data ...
AutoGluon infers your prediction problem is: 'regression' (because dtype of label-column == float and many unique label-values observed).
Label info (max, min, mean, stddev): (977.0, 1.0, 191.57413, 181.14445)
If 'regression' is not the correct problem_type, please manually specify the problem_type argument in fit() (You may specify problem_type as one of: ['binary', 'multiclass', 'regression'])
Using Feature Generators to preprocess the data ...
Fitting AutoMLPipelineFeatureGenerator...
Available Memory: 2883.83 MB
Train Data (Original) Memory Usage: 1.72 MB (0.1% of available memory)
Inferring data type of each feature based on column values. Set feature_metadata_in to manually specify special dtypes of the features.
Stage 1 Generators:
Fitting AsTypeFeatureGenerator...
Note: Converting 1 features to boolean dtype as they only contain 2 unique values.
Stage 2 Generators:
Fitting FillNaFeatureGenerator...
Stage 3 Generators:
Fitting IdentityFeatureGenerator...
Fitting CategoryFeatureGenerator...
Fitting CategoryMemoryMinimizeFeatureGenerator...
Fitting DatetimeFeatureGenerator...
Stage 4 Generators:
Fitting DropUniqueFeatureGenerator...
Types of features in original data (raw dtype, special dtypes):
('category', []) : 6 | ['hour', 'workingday', 'weather', 'weekday', 'day', ...]
('datetime', []) : 2 | ['datetime', 'date']
('float', []) : 16 | ['shift_1h', 'shift_7', 'shift_1', 'rollind_24h_std', 'shift_5h', ...]
('int', []) : 1 | ['humidity']
Types of features in processed data (raw dtype, special dtypes):
('category', []) : 5 | ['hour', 'weather', 'weekday', 'day', 'month']
('float', []) : 16 | ['shift_1h', 'shift_7', 'shift_1', 'rollind_24h_std', 'shift_5h', ...]
('int', []) : 1 | ['humidity']
('int', ['bool']) : 1 | ['workingday']
('int', ['datetime_as_int']) : 2 | ['datetime', 'date']
0.2s = Fit runtime
25 features in original data used to generate 25 features in processed data.
Train Data (Processed) Memory Usage: 1.72 MB (0.1% of available memory)
Data preprocessing and feature engineering runtime = 0.29s ...
AutoGluon will gauge predictive performance using evaluation metric: 'mean_squared_log_error'
To change this, specify the eval_metric argument of fit()
AutoGluon will fit 2 stack levels (L1 to L2) ...
Fitting 11 L1 models ...
Hyperparameter tuning model: KNeighborsUnif_BAG_L1 ...
Fitted model: KNeighborsUnif_BAG_L1\T0 ...
-0.1282 = Validation score (mean_squared_log_error)
0.01s = Training runtime
4.55s = Validation runtime
Hyperparameter tuning model: KNeighborsDist_BAG_L1 ...
Fitted model: KNeighborsDist_BAG_L1\T0 ...
-0.1254 = Validation score (mean_squared_log_error)
0.01s = Training runtime
4.57s = Validation runtime
Hyperparameter tuning model: LightGBMXT_BAG_L1 ...
Warning: Exception caused LightGBMXT_BAG_L1 to fail during hyperparameter tuning... Skipping this model.
Traceback (most recent call last):
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\tabular\trainer\abstract_trainer.py", line 1153, in _train_single_full
hpo_models, hpo_model_performances, hpo_results = model.hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=hyperparameter_tune_kwargs, **model_fit_kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\stacker_ensemble_model.py", line 179, in _hyperparameter_tune
return super()._hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=scheduler_options, preprocess_kwargs=preprocess_kwargs, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\bagged_ensemble_model.py", line 801, in _hyperparameter_tune
hpo_models, hpo_model_performances, hpo_results = self.model_base.hyperparameter_tune(X=X_fold, y=y_fold, X_val=X_val_fold, y_val=y_val_fold, scheduler_options=scheduler_options, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\tabular\models\lgb\lgb_model.py", line 391, in _hyperparameter_tune
scheduler.run()
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\scheduler\seq_scheduler.py", line 152, in run
for i in (tqdm(r) if self.num_trials < 1000 else r):
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\notebook.py", line 242, in __init__
self.container = self.status_printer(self.fp, total, self.desc, self.ncols)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\notebook.py", line 116, in status_printer
"IProgress not found. Please update jupyter and ipywidgets."
ImportError: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
Exception ignored in: <bound method tqdm.__del__ of <tqdm.auto.tqdm object at 0x000002977FEFDA20>>
Traceback (most recent call last):
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\std.py", line 1147, in __del__
self.close()
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\notebook.py", line 286, in close
self.disp(bar_style='danger', check_delay=False)
AttributeError: 'tqdm' object has no attribute 'disp'
Hyperparameter tuning model: LightGBM_BAG_L1 ...
Warning: Exception caused LightGBM_BAG_L1 to fail during hyperparameter tuning... Skipping this model.
Traceback (most recent call last):
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\tabular\trainer\abstract_trainer.py", line 1153, in _train_single_full
hpo_models, hpo_model_performances, hpo_results = model.hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=hyperparameter_tune_kwargs, **model_fit_kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\stacker_ensemble_model.py", line 179, in _hyperparameter_tune
return super()._hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=scheduler_options, preprocess_kwargs=preprocess_kwargs, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\bagged_ensemble_model.py", line 801, in _hyperparameter_tune
hpo_models, hpo_model_performances, hpo_results = self.model_base.hyperparameter_tune(X=X_fold, y=y_fold, X_val=X_val_fold, y_val=y_val_fold, scheduler_options=scheduler_options, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\tabular\models\lgb\lgb_model.py", line 391, in _hyperparameter_tune
scheduler.run()
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\scheduler\seq_scheduler.py", line 152, in run
for i in (tqdm(r) if self.num_trials < 1000 else r):
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\notebook.py", line 242, in __init__
self.container = self.status_printer(self.fp, total, self.desc, self.ncols)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\notebook.py", line 116, in status_printer
"IProgress not found. Please update jupyter and ipywidgets."
ImportError: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
Exception ignored in: <bound method tqdm.__del__ of <tqdm.auto.tqdm object at 0x00000297800215F8>>
Traceback (most recent call last):
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\std.py", line 1147, in __del__
self.close()
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\notebook.py", line 286, in close
self.disp(bar_style='danger', check_delay=False)
AttributeError: 'tqdm' object has no attribute 'disp'
Hyperparameter tuning model: RandomForestMSE_BAG_L1 ...
Fitted model: RandomForestMSE_BAG_L1\T0 ...
-0.0881 = Validation score (mean_squared_log_error)
12.57s = Training runtime
0.57s = Validation runtime
Hyperparameter tuning model: CatBoost_BAG_L1 ...
Warning: Exception caused CatBoost_BAG_L1 to fail during hyperparameter tuning... Skipping this model.
Traceback (most recent call last):
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\tabular\trainer\abstract_trainer.py", line 1153, in _train_single_full
hpo_models, hpo_model_performances, hpo_results = model.hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=hyperparameter_tune_kwargs, **model_fit_kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\stacker_ensemble_model.py", line 179, in _hyperparameter_tune
return super()._hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=scheduler_options, preprocess_kwargs=preprocess_kwargs, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\bagged_ensemble_model.py", line 801, in _hyperparameter_tune
hpo_models, hpo_model_performances, hpo_results = self.model_base.hyperparameter_tune(X=X_fold, y=y_fold, X_val=X_val_fold, y_val=y_val_fold, scheduler_options=scheduler_options, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 887, in _hyperparameter_tune
scheduler.run()
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\scheduler\seq_scheduler.py", line 152, in run
for i in (tqdm(r) if self.num_trials < 1000 else r):
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\notebook.py", line 242, in __init__
self.container = self.status_printer(self.fp, total, self.desc, self.ncols)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\notebook.py", line 116, in status_printer
"IProgress not found. Please update jupyter and ipywidgets."
ImportError: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
Exception ignored in: <bound method tqdm.__del__ of <tqdm.auto.tqdm object at 0x0000029780012710>>
Traceback (most recent call last):
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\std.py", line 1147, in __del__
self.close()
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\notebook.py", line 286, in close
self.disp(bar_style='danger', check_delay=False)
AttributeError: 'tqdm' object has no attribute 'disp'
Hyperparameter tuning model: ExtraTreesMSE_BAG_L1 ...
Fitted model: ExtraTreesMSE_BAG_L1\T0 ...
-0.0862 = Validation score (mean_squared_log_error)
3.89s = Training runtime
0.64s = Validation runtime
Hyperparameter tuning model: NeuralNetFastAI_BAG_L1 ...
Metric mean_squared_log_error is not supported by this model - using mean_squared_error instead
Ran out of time, stopping training early. (Stopping on epoch 8)
Warning: Exception caused NeuralNetFastAI_BAG_L1 to fail during hyperparameter tuning... Skipping this model.
Traceback (most recent call last):
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\tabular\trainer\abstract_trainer.py", line 1153, in _train_single_full
hpo_models, hpo_model_performances, hpo_results = model.hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=hyperparameter_tune_kwargs, **model_fit_kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\stacker_ensemble_model.py", line 179, in _hyperparameter_tune
return super()._hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=scheduler_options, preprocess_kwargs=preprocess_kwargs, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\bagged_ensemble_model.py", line 801, in _hyperparameter_tune
hpo_models, hpo_model_performances, hpo_results = self.model_base.hyperparameter_tune(X=X_fold, y=y_fold, X_val=X_val_fold, y_val=y_val_fold, scheduler_options=scheduler_options, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\tabular\models\fastainn\tabular_nn_fastai.py", line 394, in _hyperparameter_tune
return skip_hpo(self, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\abstract\model_trial.py", line 98, in skip_hpo
fit_and_save_model(model=model, params=dict(), fit_args=fit_model_args, predict_proba_args=predict_proba_args, y_val=y_val, time_start=time.time(), time_limit=time_limit)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\abstract\model_trial.py", line 86, in fit_and_save_model
model.val_score = model.score_with_y_pred_proba(y=y_val, y_pred_proba=y_pred_proba, sample_weight=sample_weight_val)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 635, in score_with_y_pred_proba
return compute_weighted_metric(y, y_pred, metric, sample_weight, quantile_levels=self.quantile_levels)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\utils\utils.py", line 568, in compute_weighted_metric
return metric(y, y_pred, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\metrics\__init__.py", line 128, in __call__
**self._kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\sklearn\utils\validation.py", line 63, in inner_f
return f(*args, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\sklearn\metrics\_regression.py", line 413, in mean_squared_log_error
raise ValueError("Mean Squared Logarithmic Error cannot be used when "
ValueError: Mean Squared Logarithmic Error cannot be used when targets contain negative values.
Mean Squared Logarithmic Error cannot be used when targets contain negative values.
Hyperparameter tuning model: XGBoost_BAG_L1 ...
Warning: Exception caused XGBoost_BAG_L1 to fail during hyperparameter tuning... Skipping this model.
Traceback (most recent call last):
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\tabular\trainer\abstract_trainer.py", line 1153, in _train_single_full
hpo_models, hpo_model_performances, hpo_results = model.hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=hyperparameter_tune_kwargs, **model_fit_kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\stacker_ensemble_model.py", line 179, in _hyperparameter_tune
return super()._hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=scheduler_options, preprocess_kwargs=preprocess_kwargs, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\bagged_ensemble_model.py", line 801, in _hyperparameter_tune
hpo_models, hpo_model_performances, hpo_results = self.model_base.hyperparameter_tune(X=X_fold, y=y_fold, X_val=X_val_fold, y_val=y_val_fold, scheduler_options=scheduler_options, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 887, in _hyperparameter_tune
scheduler.run()
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\scheduler\seq_scheduler.py", line 152, in run
for i in (tqdm(r) if self.num_trials < 1000 else r):
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\notebook.py", line 242, in __init__
self.container = self.status_printer(self.fp, total, self.desc, self.ncols)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\notebook.py", line 116, in status_printer
"IProgress not found. Please update jupyter and ipywidgets."
ImportError: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
Exception ignored in: <bound method tqdm.__del__ of <tqdm.auto.tqdm object at 0x0000029783591908>>
Traceback (most recent call last):
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\std.py", line 1147, in __del__
self.close()
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\notebook.py", line 286, in close
self.disp(bar_style='danger', check_delay=False)
AttributeError: 'tqdm' object has no attribute 'disp'
Hyperparameter tuning model: NeuralNetMXNet_BAG_L1 ...
Warning: Exception caused NeuralNetMXNet_BAG_L1 to fail during hyperparameter tuning... Skipping this model.
Traceback (most recent call last):
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\tabular\trainer\abstract_trainer.py", line 1153, in _train_single_full
hpo_models, hpo_model_performances, hpo_results = model.hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=hyperparameter_tune_kwargs, **model_fit_kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\stacker_ensemble_model.py", line 179, in _hyperparameter_tune
return super()._hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=scheduler_options, preprocess_kwargs=preprocess_kwargs, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\bagged_ensemble_model.py", line 801, in _hyperparameter_tune
hpo_models, hpo_model_performances, hpo_results = self.model_base.hyperparameter_tune(X=X_fold, y=y_fold, X_val=X_val_fold, y_val=y_val_fold, scheduler_options=scheduler_options, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\tabular\models\tabular_nn\tabular_nn_model.py", line 749, in _hyperparameter_tune
scheduler.run()
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\scheduler\seq_scheduler.py", line 152, in run
for i in (tqdm(r) if self.num_trials < 1000 else r):
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\notebook.py", line 242, in __init__
self.container = self.status_printer(self.fp, total, self.desc, self.ncols)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\notebook.py", line 116, in status_printer
"IProgress not found. Please update jupyter and ipywidgets."
ImportError: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
Exception ignored in: <bound method tqdm.__del__ of <tqdm.auto.tqdm object at 0x000002978358B7F0>>
Traceback (most recent call last):
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\std.py", line 1147, in __del__
self.close()
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\notebook.py", line 286, in close
self.disp(bar_style='danger', check_delay=False)
AttributeError: 'tqdm' object has no attribute 'disp'
Fitting model: LightGBMLarge_BAG_L1 ... Training model for up to 6.54s of the 1141.84s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
Warning: Exception caused LightGBMLarge_BAG_L1 to fail during training... Skipping this model.
Mean Squared Logarithmic Error cannot be used when targets contain negative values.
Detailed Traceback:
Traceback (most recent call last):
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\tabular\trainer\abstract_trainer.py", line 962, in _train_and_save
model = self._train_single(X, y, model, X_val, y_val, **model_fit_kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\tabular\trainer\abstract_trainer.py", line 934, in _train_single
model = model.fit(X=X, y=y, X_val=X_val, y_val=y_val, **model_fit_kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 522, in fit
out = self._fit(**kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\stacker_ensemble_model.py", line 153, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\bagged_ensemble_model.py", line 189, in _fit
n_repeats=n_repeats, n_repeat_start=n_repeat_start, save_folds=save_bag_folds, groups=groups, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\bagged_ensemble_model.py", line 388, in _fit_folds
fold_fitting_strategy.after_all_folds_scheduled()
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\fold_fitting_strategy.py", line 59, in after_all_folds_scheduled
self._fit_fold_model(*job)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\fold_fitting_strategy.py", line 64, in _fit_fold_model
fold_model = self._fit(model_base, time_start_fold, time_limit_fold, fold_ctx, kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\fold_fitting_strategy.py", line 111, in _fit
fold_model.fit(X=X_fold, y=y_fold, X_val=X_val_fold, y_val=y_val_fold, time_limit=time_limit_fold, **kwargs_fold)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 522, in fit
out = self._fit(**kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\tabular\models\lgb\lgb_model.py", line 182, in _fit
self.model = lgb.train(**train_params)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py", line 299, in train
evaluation_result_list.extend(booster.eval_valid(feval))
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\basic.py", line 3271, in eval_valid
return [item for i in range(1, self.__num_dataset)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\basic.py", line 3272, in <listcomp>
for item in self.__inner_eval(self.name_valid_sets[i - 1], i, feval)]
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\basic.py", line 3809, in __inner_eval
feval_ret = eval_function(self.__inner_predict(data_idx), cur_data)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\tabular\models\lgb\lgb_utils.py", line 62, in function_template
return metric.name, metric(y_true, y_hat), is_higher_better
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\metrics\__init__.py", line 128, in __call__
**self._kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\sklearn\utils\validation.py", line 63, in inner_f
return f(*args, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\sklearn\metrics\_regression.py", line 413, in mean_squared_log_error
raise ValueError("Mean Squared Logarithmic Error cannot be used when "
ValueError: Mean Squared Logarithmic Error cannot be used when targets contain negative values.
Fitting model: KNeighborsUnif_BAG_L1\T0 ... Training model for up to 738.84s of the 1138.94s of remaining time.
-0.1282 = Validation score (mean_squared_log_error)
0.01s = Training runtime
4.55s = Validation runtime
Fitting model: KNeighborsDist_BAG_L1\T0 ... Training model for up to 738.82s of the 1138.92s of remaining time.
-0.1254 = Validation score (mean_squared_log_error)
0.01s = Training runtime
4.57s = Validation runtime
Fitting model: RandomForestMSE_BAG_L1\T0 ... Training model for up to 738.81s of the 1138.91s of remaining time.
-0.0881 = Validation score (mean_squared_log_error)
12.57s = Training runtime
0.57s = Validation runtime
Fitting model: ExtraTreesMSE_BAG_L1\T0 ... Training model for up to 738.79s of the 1138.89s of remaining time.
-0.0862 = Validation score (mean_squared_log_error)
3.89s = Training runtime
0.64s = Validation runtime
Repeating k-fold bagging: 2/20
Repeating k-fold bagging: 3/20
Repeating k-fold bagging: 4/20
Repeating k-fold bagging: 5/20
Repeating k-fold bagging: 6/20
Repeating k-fold bagging: 7/20
Repeating k-fold bagging: 8/20
Repeating k-fold bagging: 9/20
Repeating k-fold bagging: 10/20
Repeating k-fold bagging: 11/20
Repeating k-fold bagging: 12/20
Repeating k-fold bagging: 13/20
Repeating k-fold bagging: 14/20
Repeating k-fold bagging: 15/20
Repeating k-fold bagging: 16/20
Repeating k-fold bagging: 17/20
Repeating k-fold bagging: 18/20
Repeating k-fold bagging: 19/20
Repeating k-fold bagging: 20/20
Completed 20/20 k-fold bagging repeats ...
Fitting model: WeightedEnsemble_L2 ... Training model for up to 360.0s of the 1138.81s of remaining time.
-0.0856 = Validation score (mean_squared_log_error)
0.4s = Training runtime
0.0s = Validation runtime
Fitting 9 L2 models ...
Hyperparameter tuning model: LightGBMXT_BAG_L2 ...
Warning: Exception caused LightGBMXT_BAG_L2 to fail during hyperparameter tuning... Skipping this model.
Traceback (most recent call last):
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\tabular\trainer\abstract_trainer.py", line 1153, in _train_single_full
hpo_models, hpo_model_performances, hpo_results = model.hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=hyperparameter_tune_kwargs, **model_fit_kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\stacker_ensemble_model.py", line 179, in _hyperparameter_tune
return super()._hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=scheduler_options, preprocess_kwargs=preprocess_kwargs, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\bagged_ensemble_model.py", line 801, in _hyperparameter_tune
hpo_models, hpo_model_performances, hpo_results = self.model_base.hyperparameter_tune(X=X_fold, y=y_fold, X_val=X_val_fold, y_val=y_val_fold, scheduler_options=scheduler_options, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\tabular\models\lgb\lgb_model.py", line 391, in _hyperparameter_tune
scheduler.run()
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\scheduler\seq_scheduler.py", line 152, in run
for i in (tqdm(r) if self.num_trials < 1000 else r):
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\notebook.py", line 242, in __init__
self.container = self.status_printer(self.fp, total, self.desc, self.ncols)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\notebook.py", line 116, in status_printer
"IProgress not found. Please update jupyter and ipywidgets."
ImportError: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
Exception ignored in: <bound method tqdm.__del__ of <tqdm.auto.tqdm object at 0x000002978004CF98>>
Traceback (most recent call last):
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\std.py", line 1147, in __del__
self.close()
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\notebook.py", line 286, in close
self.disp(bar_style='danger', check_delay=False)
AttributeError: 'tqdm' object has no attribute 'disp'
Hyperparameter tuning model: LightGBM_BAG_L2 ...
Warning: Exception caused LightGBM_BAG_L2 to fail during hyperparameter tuning... Skipping this model.
Traceback (most recent call last):
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\tabular\trainer\abstract_trainer.py", line 1153, in _train_single_full
hpo_models, hpo_model_performances, hpo_results = model.hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=hyperparameter_tune_kwargs, **model_fit_kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\stacker_ensemble_model.py", line 179, in _hyperparameter_tune
return super()._hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=scheduler_options, preprocess_kwargs=preprocess_kwargs, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\bagged_ensemble_model.py", line 801, in _hyperparameter_tune
hpo_models, hpo_model_performances, hpo_results = self.model_base.hyperparameter_tune(X=X_fold, y=y_fold, X_val=X_val_fold, y_val=y_val_fold, scheduler_options=scheduler_options, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\tabular\models\lgb\lgb_model.py", line 391, in _hyperparameter_tune
scheduler.run()
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\scheduler\seq_scheduler.py", line 152, in run
for i in (tqdm(r) if self.num_trials < 1000 else r):
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\notebook.py", line 242, in __init__
self.container = self.status_printer(self.fp, total, self.desc, self.ncols)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\notebook.py", line 116, in status_printer
"IProgress not found. Please update jupyter and ipywidgets."
ImportError: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
Exception ignored in: <bound method tqdm.__del__ of <tqdm.auto.tqdm object at 0x000002977FE7E9B0>>
Traceback (most recent call last):
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\std.py", line 1147, in __del__
self.close()
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\notebook.py", line 286, in close
self.disp(bar_style='danger', check_delay=False)
AttributeError: 'tqdm' object has no attribute 'disp'
Hyperparameter tuning model: RandomForestMSE_BAG_L2 ...
Fitted model: RandomForestMSE_BAG_L2\T0 ...
-0.08 = Validation score (mean_squared_log_error)
16.28s = Training runtime
0.61s = Validation runtime
Hyperparameter tuning model: CatBoost_BAG_L2 ...
Warning: Exception caused CatBoost_BAG_L2 to fail during hyperparameter tuning... Skipping this model.
Traceback (most recent call last):
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\tabular\trainer\abstract_trainer.py", line 1153, in _train_single_full
hpo_models, hpo_model_performances, hpo_results = model.hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=hyperparameter_tune_kwargs, **model_fit_kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\stacker_ensemble_model.py", line 179, in _hyperparameter_tune
return super()._hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=scheduler_options, preprocess_kwargs=preprocess_kwargs, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\bagged_ensemble_model.py", line 801, in _hyperparameter_tune
hpo_models, hpo_model_performances, hpo_results = self.model_base.hyperparameter_tune(X=X_fold, y=y_fold, X_val=X_val_fold, y_val=y_val_fold, scheduler_options=scheduler_options, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 887, in _hyperparameter_tune
scheduler.run()
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\scheduler\seq_scheduler.py", line 152, in run
for i in (tqdm(r) if self.num_trials < 1000 else r):
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\notebook.py", line 242, in __init__
self.container = self.status_printer(self.fp, total, self.desc, self.ncols)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\notebook.py", line 116, in status_printer
"IProgress not found. Please update jupyter and ipywidgets."
ImportError: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
Exception ignored in: <bound method tqdm.__del__ of <tqdm.auto.tqdm object at 0x0000029780087400>>
Traceback (most recent call last):
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\std.py", line 1147, in __del__
self.close()
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\notebook.py", line 286, in close
self.disp(bar_style='danger', check_delay=False)
AttributeError: 'tqdm' object has no attribute 'disp'
Hyperparameter tuning model: ExtraTreesMSE_BAG_L2 ...
Fitted model: ExtraTreesMSE_BAG_L2\T0 ...
-0.0792 = Validation score (mean_squared_log_error)
4.23s = Training runtime
0.74s = Validation runtime
Hyperparameter tuning model: NeuralNetFastAI_BAG_L2 ...
Metric mean_squared_log_error is not supported by this model - using mean_squared_error instead
Ran out of time, stopping training early. (Stopping on epoch 17)
Warning: Exception caused NeuralNetFastAI_BAG_L2 to fail during hyperparameter tuning... Skipping this model.
Traceback (most recent call last):
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\tabular\trainer\abstract_trainer.py", line 1153, in _train_single_full
hpo_models, hpo_model_performances, hpo_results = model.hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=hyperparameter_tune_kwargs, **model_fit_kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\stacker_ensemble_model.py", line 179, in _hyperparameter_tune
return super()._hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=scheduler_options, preprocess_kwargs=preprocess_kwargs, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\bagged_ensemble_model.py", line 801, in _hyperparameter_tune
hpo_models, hpo_model_performances, hpo_results = self.model_base.hyperparameter_tune(X=X_fold, y=y_fold, X_val=X_val_fold, y_val=y_val_fold, scheduler_options=scheduler_options, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\tabular\models\fastainn\tabular_nn_fastai.py", line 394, in _hyperparameter_tune
return skip_hpo(self, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\abstract\model_trial.py", line 98, in skip_hpo
fit_and_save_model(model=model, params=dict(), fit_args=fit_model_args, predict_proba_args=predict_proba_args, y_val=y_val, time_start=time.time(), time_limit=time_limit)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\abstract\model_trial.py", line 86, in fit_and_save_model
model.val_score = model.score_with_y_pred_proba(y=y_val, y_pred_proba=y_pred_proba, sample_weight=sample_weight_val)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 635, in score_with_y_pred_proba
return compute_weighted_metric(y, y_pred, metric, sample_weight, quantile_levels=self.quantile_levels)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\utils\utils.py", line 568, in compute_weighted_metric
return metric(y, y_pred, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\metrics\__init__.py", line 128, in __call__
**self._kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\sklearn\utils\validation.py", line 63, in inner_f
return f(*args, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\sklearn\metrics\_regression.py", line 413, in mean_squared_log_error
raise ValueError("Mean Squared Logarithmic Error cannot be used when "
ValueError: Mean Squared Logarithmic Error cannot be used when targets contain negative values.
Mean Squared Logarithmic Error cannot be used when targets contain negative values.
Hyperparameter tuning model: XGBoost_BAG_L2 ...
Warning: Exception caused XGBoost_BAG_L2 to fail during hyperparameter tuning... Skipping this model.
Traceback (most recent call last):
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\tabular\trainer\abstract_trainer.py", line 1153, in _train_single_full
hpo_models, hpo_model_performances, hpo_results = model.hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=hyperparameter_tune_kwargs, **model_fit_kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\stacker_ensemble_model.py", line 179, in _hyperparameter_tune
return super()._hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=scheduler_options, preprocess_kwargs=preprocess_kwargs, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\bagged_ensemble_model.py", line 801, in _hyperparameter_tune
hpo_models, hpo_model_performances, hpo_results = self.model_base.hyperparameter_tune(X=X_fold, y=y_fold, X_val=X_val_fold, y_val=y_val_fold, scheduler_options=scheduler_options, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 887, in _hyperparameter_tune
scheduler.run()
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\scheduler\seq_scheduler.py", line 152, in run
for i in (tqdm(r) if self.num_trials < 1000 else r):
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\notebook.py", line 242, in __init__
self.container = self.status_printer(self.fp, total, self.desc, self.ncols)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\notebook.py", line 116, in status_printer
"IProgress not found. Please update jupyter and ipywidgets."
ImportError: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
Exception ignored in: <bound method tqdm.__del__ of <tqdm.auto.tqdm object at 0x00000297800879B0>>
Traceback (most recent call last):
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\std.py", line 1147, in __del__
self.close()
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\notebook.py", line 286, in close
self.disp(bar_style='danger', check_delay=False)
AttributeError: 'tqdm' object has no attribute 'disp'
Hyperparameter tuning model: NeuralNetMXNet_BAG_L2 ...
Warning: Exception caused NeuralNetMXNet_BAG_L2 to fail during hyperparameter tuning... Skipping this model.
Traceback (most recent call last):
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\tabular\trainer\abstract_trainer.py", line 1153, in _train_single_full
hpo_models, hpo_model_performances, hpo_results = model.hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=hyperparameter_tune_kwargs, **model_fit_kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\stacker_ensemble_model.py", line 179, in _hyperparameter_tune
return super()._hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=scheduler_options, preprocess_kwargs=preprocess_kwargs, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\bagged_ensemble_model.py", line 801, in _hyperparameter_tune
hpo_models, hpo_model_performances, hpo_results = self.model_base.hyperparameter_tune(X=X_fold, y=y_fold, X_val=X_val_fold, y_val=y_val_fold, scheduler_options=scheduler_options, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\tabular\models\tabular_nn\tabular_nn_model.py", line 749, in _hyperparameter_tune
scheduler.run()
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\scheduler\seq_scheduler.py", line 152, in run
for i in (tqdm(r) if self.num_trials < 1000 else r):
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\notebook.py", line 242, in __init__
self.container = self.status_printer(self.fp, total, self.desc, self.ncols)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\notebook.py", line 116, in status_printer
"IProgress not found. Please update jupyter and ipywidgets."
ImportError: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
Exception ignored in: <bound method tqdm.__del__ of <tqdm.auto.tqdm object at 0x00000297835F1390>>
Traceback (most recent call last):
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\std.py", line 1147, in __del__
self.close()
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\tqdm\notebook.py", line 286, in close
self.disp(bar_style='danger', check_delay=False)
AttributeError: 'tqdm' object has no attribute 'disp'
Fitting model: LightGBMLarge_BAG_L2 ... Training model for up to 11.38s of the 1091.53s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
-0.0645 = Validation score (mean_squared_log_error)
5.52s = Training runtime
0.03s = Validation runtime
Fitting model: RandomForestMSE_BAG_L2\T0 ... Training model for up to 1085.81s of the 1085.8s of remaining time.
-0.08 = Validation score (mean_squared_log_error)
16.28s = Training runtime
0.61s = Validation runtime
Fitting model: ExtraTreesMSE_BAG_L2\T0 ... Training model for up to 1085.79s of the 1085.78s of remaining time.
-0.0792 = Validation score (mean_squared_log_error)
4.23s = Training runtime
0.74s = Validation runtime
Fitting model: LightGBMLarge_BAG_L2 ... Training model for up to 1085.76s of the 1085.76s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
Warning: Exception caused LightGBMLarge_BAG_L2 to fail during training... Skipping this model.
Mean Squared Logarithmic Error cannot be used when targets contain negative values.
Detailed Traceback:
Traceback (most recent call last):
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\tabular\trainer\abstract_trainer.py", line 962, in _train_and_save
model = self._train_single(X, y, model, X_val, y_val, **model_fit_kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\tabular\trainer\abstract_trainer.py", line 934, in _train_single
model = model.fit(X=X, y=y, X_val=X_val, y_val=y_val, **model_fit_kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 522, in fit
out = self._fit(**kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\stacker_ensemble_model.py", line 153, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\bagged_ensemble_model.py", line 189, in _fit
n_repeats=n_repeats, n_repeat_start=n_repeat_start, save_folds=save_bag_folds, groups=groups, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\bagged_ensemble_model.py", line 388, in _fit_folds
fold_fitting_strategy.after_all_folds_scheduled()
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\fold_fitting_strategy.py", line 59, in after_all_folds_scheduled
self._fit_fold_model(*job)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\fold_fitting_strategy.py", line 64, in _fit_fold_model
fold_model = self._fit(model_base, time_start_fold, time_limit_fold, fold_ctx, kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\fold_fitting_strategy.py", line 111, in _fit
fold_model.fit(X=X_fold, y=y_fold, X_val=X_val_fold, y_val=y_val_fold, time_limit=time_limit_fold, **kwargs_fold)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 522, in fit
out = self._fit(**kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\tabular\models\lgb\lgb_model.py", line 182, in _fit
self.model = lgb.train(**train_params)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py", line 299, in train
evaluation_result_list.extend(booster.eval_valid(feval))
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\basic.py", line 3271, in eval_valid
return [item for i in range(1, self.__num_dataset)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\basic.py", line 3272, in <listcomp>
for item in self.__inner_eval(self.name_valid_sets[i - 1], i, feval)]
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\basic.py", line 3809, in __inner_eval
feval_ret = eval_function(self.__inner_predict(data_idx), cur_data)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\tabular\models\lgb\lgb_utils.py", line 62, in function_template
return metric.name, metric(y_true, y_hat), is_higher_better
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\autogluon\core\metrics\__init__.py", line 128, in __call__
**self._kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\sklearn\utils\validation.py", line 63, in inner_f
return f(*args, **kwargs)
File "C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\sklearn\metrics\_regression.py", line 413, in mean_squared_log_error
raise ValueError("Mean Squared Logarithmic Error cannot be used when "
ValueError: Mean Squared Logarithmic Error cannot be used when targets contain negative values.
Repeating k-fold bagging: 2/20
Repeating k-fold bagging: 3/20
Repeating k-fold bagging: 4/20
Repeating k-fold bagging: 5/20
Repeating k-fold bagging: 6/20
Repeating k-fold bagging: 7/20
Repeating k-fold bagging: 8/20
Repeating k-fold bagging: 9/20
Repeating k-fold bagging: 10/20
Repeating k-fold bagging: 11/20
Repeating k-fold bagging: 12/20
Repeating k-fold bagging: 13/20
Repeating k-fold bagging: 14/20
Repeating k-fold bagging: 15/20
Repeating k-fold bagging: 16/20
Repeating k-fold bagging: 17/20
Repeating k-fold bagging: 18/20
Repeating k-fold bagging: 19/20
Repeating k-fold bagging: 20/20
Completed 20/20 k-fold bagging repeats ...
Fitting model: WeightedEnsemble_L3 ... Training model for up to 360.0s of the 1062.15s of remaining time.
-0.0788 = Validation score (mean_squared_log_error)
0.23s = Training runtime
0.0s = Validation runtime
AutoGluon training complete, total runtime = 138.1s ...
TabularPredictor saved. To load, use: predictor = TabularPredictor.load("AutogluonModels/ag-20211210_143954\")
predictor_RMSLE.fit_summary()
*** Summary of fit() ***
Estimated performance of each model:
model score_val pred_time_val fit_time pred_time_val_marginal fit_time_marginal stack_level can_infer fit_order
0 LightGBMLarge_BAG_L2 -0.064508 10.361032 21.990339 0.031981 5.518822 2 True 8
1 WeightedEnsemble_L3 -0.078823 11.678289 37.214586 0.001013 0.229880 3 True 9
2 ExtraTreesMSE_BAG_L2\T0 -0.079187 11.066625 20.702082 0.737575 4.230565 2 True 7
3 RandomForestMSE_BAG_L2\T0 -0.079998 10.939701 32.754141 0.610651 16.282624 2 True 6
4 WeightedEnsemble_L2 -0.085556 5.775673 16.860297 0.001000 0.398775 2 True 5
5 ExtraTreesMSE_BAG_L1\T0 -0.086199 0.640632 3.886761 0.640632 3.886761 1 True 4
6 RandomForestMSE_BAG_L1\T0 -0.088100 0.566673 12.566764 0.566673 12.566764 1 True 3
7 KNeighborsDist_BAG_L1\T0 -0.125425 4.567369 0.007997 4.567369 0.007997 1 True 2
8 KNeighborsUnif_BAG_L1\T0 -0.128212 4.554377 0.009995 4.554377 0.009995 1 True 1
Number of models trained: 9
Types of models trained:
{'StackerEnsembleModel_LGB', 'StackerEnsembleModel_XT', 'StackerEnsembleModel_KNN', 'WeightedEnsembleModel', 'StackerEnsembleModel_RF'}
Bagging used: True (with 10 folds)
Multi-layer stack-ensembling used: True (with 3 levels)
Feature Metadata (Processed):
(raw dtype, special dtypes):
('category', []) : 5 | ['hour', 'weather', 'weekday', 'day', 'month']
('float', []) : 16 | ['shift_1h', 'shift_7', 'shift_1', 'rollind_24h_std', 'shift_5h', ...]
('int', []) : 1 | ['humidity']
('int', ['bool']) : 1 | ['workingday']
('int', ['datetime_as_int']) : 2 | ['datetime', 'date']
Plot summary of models saved to file: AutogluonModels/ag-20211210_143954\SummaryOfModels.html
*** End of fit() summary ***
{'model_types': {'KNeighborsUnif_BAG_L1\\T0': 'StackerEnsembleModel_KNN',
'KNeighborsDist_BAG_L1\\T0': 'StackerEnsembleModel_KNN',
'RandomForestMSE_BAG_L1\\T0': 'StackerEnsembleModel_RF',
'ExtraTreesMSE_BAG_L1\\T0': 'StackerEnsembleModel_XT',
'WeightedEnsemble_L2': 'WeightedEnsembleModel',
'RandomForestMSE_BAG_L2\\T0': 'StackerEnsembleModel_RF',
'ExtraTreesMSE_BAG_L2\\T0': 'StackerEnsembleModel_XT',
'LightGBMLarge_BAG_L2': 'StackerEnsembleModel_LGB',
'WeightedEnsemble_L3': 'WeightedEnsembleModel'},
'model_performance': {'KNeighborsUnif_BAG_L1\\T0': -0.1282124255277413,
'KNeighborsDist_BAG_L1\\T0': -0.1254249071125922,
'RandomForestMSE_BAG_L1\\T0': -0.08810034776923616,
'ExtraTreesMSE_BAG_L1\\T0': -0.08619897379945887,
'WeightedEnsemble_L2': -0.08555574945073402,
'RandomForestMSE_BAG_L2\\T0': -0.07999814135236705,
'ExtraTreesMSE_BAG_L2\\T0': -0.07918714277968329,
'LightGBMLarge_BAG_L2': -0.06450836120910762,
'WeightedEnsemble_L3': -0.0788231719230093},
'model_best': 'WeightedEnsemble_L3',
'model_paths': {'KNeighborsUnif_BAG_L1\\T0': 'AutogluonModels/ag-20211210_143954\\models\\KNeighborsUnif_BAG_L1\\T0\\',
'KNeighborsDist_BAG_L1\\T0': 'AutogluonModels/ag-20211210_143954\\models\\KNeighborsDist_BAG_L1\\T0\\',
'RandomForestMSE_BAG_L1\\T0': 'AutogluonModels/ag-20211210_143954\\models\\RandomForestMSE_BAG_L1\\T0\\',
'ExtraTreesMSE_BAG_L1\\T0': 'AutogluonModels/ag-20211210_143954\\models\\ExtraTreesMSE_BAG_L1\\T0\\',
'WeightedEnsemble_L2': 'AutogluonModels/ag-20211210_143954\\models\\WeightedEnsemble_L2\\',
'RandomForestMSE_BAG_L2\\T0': 'AutogluonModels/ag-20211210_143954\\models\\RandomForestMSE_BAG_L2\\T0\\',
'ExtraTreesMSE_BAG_L2\\T0': 'AutogluonModels/ag-20211210_143954\\models\\ExtraTreesMSE_BAG_L2\\T0\\',
'LightGBMLarge_BAG_L2': 'AutogluonModels/ag-20211210_143954\\models\\LightGBMLarge_BAG_L2\\',
'WeightedEnsemble_L3': 'AutogluonModels/ag-20211210_143954\\models\\WeightedEnsemble_L3\\'},
'model_fit_times': {'KNeighborsUnif_BAG_L1\\T0': 0.009995460510253906,
'KNeighborsDist_BAG_L1\\T0': 0.007997274398803711,
'RandomForestMSE_BAG_L1\\T0': 12.566763639450073,
'ExtraTreesMSE_BAG_L1\\T0': 3.886760711669922,
'WeightedEnsemble_L2': 0.3987753391265869,
'RandomForestMSE_BAG_L2\\T0': 16.282623767852783,
'ExtraTreesMSE_BAG_L2\\T0': 4.230564832687378,
'LightGBMLarge_BAG_L2': 5.518822193145752,
'WeightedEnsemble_L3': 0.22988033294677734},
'model_pred_times': {'KNeighborsUnif_BAG_L1\\T0': 4.554376840591431,
'KNeighborsDist_BAG_L1\\T0': 4.567368507385254,
'RandomForestMSE_BAG_L1\\T0': 0.5666728019714355,
'ExtraTreesMSE_BAG_L1\\T0': 0.6406323909759521,
'WeightedEnsemble_L2': 0.0009996891021728516,
'RandomForestMSE_BAG_L2\\T0': 0.6106507778167725,
'ExtraTreesMSE_BAG_L2\\T0': 0.7375748157501221,
'LightGBMLarge_BAG_L2': 0.03198122978210449,
'WeightedEnsemble_L3': 0.0010128021240234375},
'num_bag_folds': 10,
'max_stack_level': 3,
'model_hyperparams': {'KNeighborsUnif_BAG_L1\\T0': {'use_orig_features': True,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True,
'use_child_oof': True},
'KNeighborsDist_BAG_L1\\T0': {'use_orig_features': True,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True,
'use_child_oof': True},
'RandomForestMSE_BAG_L1\\T0': {'use_orig_features': True,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True,
'use_child_oof': True},
'ExtraTreesMSE_BAG_L1\\T0': {'use_orig_features': True,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True,
'use_child_oof': True},
'WeightedEnsemble_L2': {'use_orig_features': False,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True},
'RandomForestMSE_BAG_L2\\T0': {'use_orig_features': True,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True,
'use_child_oof': True},
'ExtraTreesMSE_BAG_L2\\T0': {'use_orig_features': True,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True,
'use_child_oof': True},
'LightGBMLarge_BAG_L2': {'use_orig_features': True,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True},
'WeightedEnsemble_L3': {'use_orig_features': False,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True}},
'leaderboard': model score_val pred_time_val fit_time \
0 LightGBMLarge_BAG_L2 -0.064508 10.361032 21.990339
1 WeightedEnsemble_L3 -0.078823 11.678289 37.214586
2 ExtraTreesMSE_BAG_L2\T0 -0.079187 11.066625 20.702082
3 RandomForestMSE_BAG_L2\T0 -0.079998 10.939701 32.754141
4 WeightedEnsemble_L2 -0.085556 5.775673 16.860297
5 ExtraTreesMSE_BAG_L1\T0 -0.086199 0.640632 3.886761
6 RandomForestMSE_BAG_L1\T0 -0.088100 0.566673 12.566764
7 KNeighborsDist_BAG_L1\T0 -0.125425 4.567369 0.007997
8 KNeighborsUnif_BAG_L1\T0 -0.128212 4.554377 0.009995
pred_time_val_marginal fit_time_marginal stack_level can_infer \
0 0.031981 5.518822 2 True
1 0.001013 0.229880 3 True
2 0.737575 4.230565 2 True
3 0.610651 16.282624 2 True
4 0.001000 0.398775 2 True
5 0.640632 3.886761 1 True
6 0.566673 12.566764 1 True
7 4.567369 0.007997 1 True
8 4.554377 0.009995 1 True
fit_order
0 8
1 9
2 7
3 6
4 5
5 4
6 3
7 2
8 1 }
# Remember to set all negative values to zero
predictor_bag = predictor_RMSLE.predict(df_test)
predictor_bag[predictor_bag<0] = 0
# Same submitting predictions
submission_hypo = pd.read_csv('sampleSubmission.csv')
submission_hypo["count"] = predictor_bag
submission_hypo.to_csv("submission_submission_RMSLE.csv", index=False)
!kaggle competitions submit -c bike-sharing-demand -f submission_submission_RMSLE.csv -m "Custome Eval Metric"
Successfully submitted to Bike Sharing Demand
c:\users\hp\anaconda3\envs\aws deep learning\lib\site-packages\cryptography\hazmat\backends\openssl\x509.py:17: CryptographyDeprecationWarning: This version of cryptography contains a temporary pyOpenSSL fallback path. Upgrade pyOpenSSL now. utils.DeprecatedIn35, 0%| | 0.00/194k [00:00<?, ?B/s] 4%|4 | 8.00k/194k [00:00<00:03, 51.4kB/s] 49%|####9 | 96.0k/194k [00:00<00:00, 430kB/s] 100%|##########| 194k/194k [00:00<00:00, 641kB/s] 100%|##########| 194k/194k [00:03<00:00, 57.2kB/s]
!kaggle competitions submissions -c bike-sharing-demand
fileName date description status publicScore privateScore --------------------------------------- ------------------- -------------------------------------------- -------- ----------- ------------ submission_submission_RMSLE.csv 2021-12-10 14:44:00 Custome Eval Metric complete 0.45892 0.45892 submission_submission_hypov2.csv 2021-12-10 14:23:31 new features with hyperparameters V2 complete 0.45490 0.45490 submission_submission_hypov2.csv 2021-12-10 13:57:06 new features with hyperparameters V2 complete 0.57647 0.57647 submission_submission_hypo.csv 2021-12-10 10:07:22 new features with hyperparameters complete 0.45563 0.45563 submission_time_search_5min.csv 2021-12-10 09:23:07 5 min train submit complete 0.44797 0.44797 submission_import_features.csv 2021-12-08 13:55:39 Feature Importance complete 0.45194 0.45194 submission_import_features.csv 2021-12-08 13:53:11 Feature Importance complete 0.45414 0.45414 submission_import_features.csv 2021-12-08 13:51:11 Feature Importance complete 0.45749 0.45749 submission_import_features.csv 2021-12-08 13:48:53 Feature Importance complete 0.45210 0.45210 submission_import_features.csv 2021-12-08 13:44:55 Feature Importance complete 0.48275 0.48275 submission_import_features.csv 2021-12-08 13:42:28 Feature Importance complete 0.45753 0.45753 submission_import_features.csv 2021-12-08 13:39:01 Feature Importance complete 0.45939 0.45939 submission_new_featuresV3.csv 2021-12-08 12:44:41 new features_AdvancedV3 complete 0.45274 0.45274 submission_new_features_Advanced_V1.csv 2021-12-08 12:20:43 new features Advanced V1 complete 0.45810 0.45810 submission_new_features_Advanced_V1.csv 2021-12-08 12:20:12 new features complete 0.45810 0.45810 submission_new_features_log.csv 2021-12-08 12:07:08 NF - Model 2 (Basic Log Transform ) complete 0.50789 0.50789 submission_new_features_log.csv 2021-12-08 12:06:06 NF - Model 2 (Basic Log Transform ) complete 0.50674 0.50674 submission_new_features_log.csv 2021-12-08 11:34:53 NF - Model 2 (Basic Log Transform ) complete 0.50674 0.50674 submission_new_features.csv 2021-12-08 11:24:55 NF - Model 1 (Basic Time Catogricla data ) complete 0.50674 0.50674 submission.csv 2021-12-08 11:13:27 first raw submission complete 1.38952 1.38952 submission_new_hpo.csv 2021-12-08 11:06:33 new features with hyperparameters Tune complete 0.48748 0.48748 submission_new_hpo.csv 2021-12-08 09:14:10 new features with hyperparameters Tune complete 0.51858 0.51858 submission_new_hpo_ensV4.csv 2021-12-07 15:02:09 new features with hyperparameters Vקרדןםמ 4 complete 0.48961 0.48961 submission_new_hpo.csv 2021-12-07 14:29:38 new features with hyperparameters Tune complete 0.48338 0.48338 submission_new_featuresV3.csv 2021-12-07 14:00:06 new featuresV3 complete 0.45074 0.45074 submission_new_featuresV2.csv 2021-12-07 13:39:45 new features complete 0.50306 0.50306 submission_new_features.csv 2021-12-07 13:09:48 new features complete 0.51097 0.51097 submission.csv 2021-12-07 13:04:23 first raw submission complete 1.39309 1.39309 submission_new_hpo.csv 2021-12-07 11:12:13 new features with hyperparameters Tune complete 0.45509 0.45509 submission_new_featuresV3.csv 2021-12-07 10:53:43 new featuresV3 complete 0.45057 0.45057 submission_new_featuresV2.csv 2021-12-07 10:43:05 new features complete 0.47595 0.47595 submission_new_featuresV2.csv 2021-12-07 10:42:32 new features error None None submission_new_features.csv 2021-12-07 10:32:26 new features complete 0.50670 0.50670 submission.csv 2021-12-07 10:24:27 first raw submission complete 1.38989 1.38989 submission_new_hpo.csv 2021-12-07 09:08:34 new features with hyperparameters complete 0.46172 0.46172 submission_new_hpo.csv 2021-12-07 08:59:07 new features with hyperparameters complete 0.45760 0.45760 submission_new_features.csv 2021-12-06 20:57:01 new features complete 0.44755 0.44755 submission_new_features.csv 2021-12-06 20:50:18 new features complete 0.44577 0.44577 submission_new_features.csv 2021-12-06 20:45:43 new features complete 0.44592 0.44592 submission_RMSLE.csv 2021-12-06 17:57:57 Custome Eval Metric complete 0.46093 0.46093 submission_RMSLE.csv 2021-12-06 17:46:31 Custome Eval Metric complete 0.46093 0.46093 submission_RMSLE.csv 2021-12-06 17:25:04 Custome Eval Metric complete 0.46093 0.46093 submission_RMSLE.csv 2021-12-06 17:13:44 Custome Eval Metric complete 0.46093 0.46093 submission_new_hpo_ens.csv 2021-12-06 15:59:53 new features with hyperparameters complete 0.44685 0.44685 submission_new_hpo_ens.csv 2021-12-06 15:55:19 new features with hyperparameters complete 0.47243 0.47243 submission_new_hpo_ens.csv 2021-12-06 15:14:56 new features with hyperparameters complete 0.44685 0.44685 submission_new_hpo_ens.csv 2021-12-06 15:11:35 new features with hyperparameters complete 0.47219 0.47219 submission_new_hpo_ens.csv 2021-12-06 15:03:25 new features with hyperparameters complete 0.44685 0.44685 submission_new_hpo.csv 2021-12-06 15:02:29 new features with hyperparameters complete 0.44685 0.44685 submission_new_hpo.csv 2021-12-06 13:32:40 new features with hyperparameters complete 0.44575 0.44575
c:\users\hp\anaconda3\envs\aws deep learning\lib\site-packages\cryptography\hazmat\backends\openssl\x509.py:17: CryptographyDeprecationWarning: This version of cryptography contains a temporary pyOpenSSL fallback path. Upgrade pyOpenSSL now. utils.DeprecatedIn35,
import autogluon.core as ag
from autogluon.tabular import TabularDataset, TabularPredictor
nn_options = { # specifies non-default hyperparameter values for neural network models
'num_epochs': 10, # number of training epochs (controls training time of NN models)
'learning_rate': ag.space.Real(1e-4, 1e-2, default=5e-4, log=True), # learning rate used in training (real-valued hyperparameter searched on log-scale)
'activation': ag.space.Categorical('relu', 'softrelu', 'tanh'), # activation function used in NN (categorical hyperparameter, default = first entry)
'layers': ag.space.Categorical([100], [1000], [200, 100], [300, 200, 100]), # each choice for categorical hyperparameter 'layers' corresponds to list of sizes for each NN layer to use
'dropout_prob': ag.space.Real(0.0, 0.5, default=0.1), # dropout probability (real-valued hyperparameter)
}
gbm_options = { # specifies non-default hyperparameter values for lightGBM gradient boosted trees
'num_boost_round': 30000, # number of boosting rounds (controls training time of GBM models)
'num_leaves': ag.space.Int(lower=26, upper=126, default=36), # number of leaves in trees (integer hyperparameter)
'max_depth' : ag.space.Int(lower=3, upper=12, default=5),
'min_samples_leaf ' : ag.space.Int(lower=12, upper=100, default=50)
}
hyperparameters = { # hyperparameters of each model type
'GBM': gbm_options,
# 'NN': nn_options, # NOTE: comment this line out if you get errors on Mac OSX
} # When these keys are missing from hyperparameters dict, no models of that type are trained
time_limit = 35*60 # train various models for ~2 min
num_trials = 5 # try at most 5 different hyperparameter configurations for each type of model
search_strategy = 'auto' # to tune hyperparameters using Bayesian optimization routine with a local scheduler
hyperparameter_tune_kwargs = { # HPO is not performed unless hyperparameter_tune_kwargs is specified
'num_trials': num_trials,
'scheduler' : 'local',
'searcher': search_strategy,
}
predictor = TabularPredictor(label='count', eval_metric='root_mean_squared_error').fit( train_data = df_features, time_limit=time_limit,
num_bag_folds=5, num_bag_sets=1, num_stack_levels=3,
hyperparameter_tune_kwargs = 'auto',
hyperparameters = { 'GBM': gbm_options},
presets="best_quality",
)
No path specified. Models will be saved in: "AutogluonModels/ag-20211211_111356\"
Presets specified: ['best_quality']
Warning: hyperparameter tuning is currently experimental and may cause the process to hang.
Beginning AutoGluon training ... Time limit = 2100s
AutoGluon will save models to "AutogluonModels/ag-20211211_111356\"
AutoGluon Version: 0.3.1
Train Data Rows: 10886
Train Data Columns: 25
Preprocessing data ...
AutoGluon infers your prediction problem is: 'regression' (because dtype of label-column == float and many unique label-values observed).
Label info (max, min, mean, stddev): (977.0, 1.0, 191.57413, 181.14445)
If 'regression' is not the correct problem_type, please manually specify the problem_type argument in fit() (You may specify problem_type as one of: ['binary', 'multiclass', 'regression'])
Using Feature Generators to preprocess the data ...
Fitting AutoMLPipelineFeatureGenerator...
Available Memory: 3704.41 MB
Train Data (Original) Memory Usage: 1.72 MB (0.0% of available memory)
Inferring data type of each feature based on column values. Set feature_metadata_in to manually specify special dtypes of the features.
Stage 1 Generators:
Fitting AsTypeFeatureGenerator...
Note: Converting 1 features to boolean dtype as they only contain 2 unique values.
Stage 2 Generators:
Fitting FillNaFeatureGenerator...
Stage 3 Generators:
Fitting IdentityFeatureGenerator...
Fitting CategoryFeatureGenerator...
Fitting CategoryMemoryMinimizeFeatureGenerator...
Fitting DatetimeFeatureGenerator...
Stage 4 Generators:
Fitting DropUniqueFeatureGenerator...
Types of features in original data (raw dtype, special dtypes):
('category', []) : 6 | ['hour', 'workingday', 'weather', 'weekday', 'day', ...]
('datetime', []) : 2 | ['datetime', 'date']
('float', []) : 16 | ['shift_1h', 'shift_7', 'shift_1', 'rollind_24h_std', 'shift_5h', ...]
('int', []) : 1 | ['humidity']
Types of features in processed data (raw dtype, special dtypes):
('category', []) : 5 | ['hour', 'weather', 'weekday', 'day', 'month']
('float', []) : 16 | ['shift_1h', 'shift_7', 'shift_1', 'rollind_24h_std', 'shift_5h', ...]
('int', []) : 1 | ['humidity']
('int', ['bool']) : 1 | ['workingday']
('int', ['datetime_as_int']) : 2 | ['datetime', 'date']
0.2s = Fit runtime
25 features in original data used to generate 25 features in processed data.
Train Data (Processed) Memory Usage: 1.72 MB (0.0% of available memory)
Data preprocessing and feature engineering runtime = 0.28s ...
AutoGluon will gauge predictive performance using evaluation metric: 'root_mean_squared_error'
To change this, specify the eval_metric argument of fit()
AutoGluon will fit 4 stack levels (L1 to L4) ...
Fitting 1 L1 models ...
Hyperparameter tuning model: LightGBM_BAG_L1 ...
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 76 [LightGBM] [Warning] min_data_in_leaf is set=13, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=13
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 35 [LightGBM] [Warning] min_data_in_leaf is set=19, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=19 [1000] train_set's rmse: 38.2065 valid_set's rmse: 41.9251 [2000] train_set's rmse: 32.8062 valid_set's rmse: 37.843 [3000] train_set's rmse: 29.9847 valid_set's rmse: 36.1912 [4000] train_set's rmse: 28.1619 valid_set's rmse: 35.333 [5000] train_set's rmse: 26.7378 valid_set's rmse: 34.7608 [6000] train_set's rmse: 25.6698 valid_set's rmse: 34.5052 [7000] train_set's rmse: 24.7708 valid_set's rmse: 34.302 [8000] train_set's rmse: 23.9516 valid_set's rmse: 34.1244 [9000] train_set's rmse: 23.1915 valid_set's rmse: 34.0434 [10000] train_set's rmse: 22.5232 valid_set's rmse: 33.9074 [11000] train_set's rmse: 21.9255 valid_set's rmse: 33.8516 [12000] train_set's rmse: 21.3702 valid_set's rmse: 33.8266 [13000] train_set's rmse: 20.8451 valid_set's rmse: 33.8152 [14000] train_set's rmse: 20.3672 valid_set's rmse: 33.8133 [15000] train_set's rmse: 19.9337 valid_set's rmse: 33.8168 [16000] train_set's rmse: 19.5177 valid_set's rmse: 33.8447 [17000] train_set's rmse: 19.129 valid_set's rmse: 33.8648
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 100 [LightGBM] [Warning] min_data_in_leaf is set=18, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=18
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 100 [LightGBM] [Warning] min_data_in_leaf is set=27, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=27
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 49 [LightGBM] [Warning] min_data_in_leaf is set=29, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=29 [1000] train_set's rmse: 35.6078 valid_set's rmse: 39.7816 [2000] train_set's rmse: 30.6869 valid_set's rmse: 36.5645 [3000] train_set's rmse: 28.1532 valid_set's rmse: 35.2956 [4000] train_set's rmse: 26.4013 valid_set's rmse: 34.7255 [5000] train_set's rmse: 25.0963 valid_set's rmse: 34.3984 [6000] train_set's rmse: 24.0288 valid_set's rmse: 34.1353 [7000] train_set's rmse: 23.1446 valid_set's rmse: 33.9787 [8000] train_set's rmse: 22.2992 valid_set's rmse: 33.7657 [9000] train_set's rmse: 21.5919 valid_set's rmse: 33.7567 [10000] train_set's rmse: 20.9069 valid_set's rmse: 33.766
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 12 [LightGBM] [Warning] min_data_in_leaf is set=12, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=12
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 47 [LightGBM] [Warning] min_data_in_leaf is set=3, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=3 [1000] train_set's rmse: 24.2588 valid_set's rmse: 34.5639 [2000] train_set's rmse: 19.2639 valid_set's rmse: 33.6721 [3000] train_set's rmse: 16.2037 valid_set's rmse: 33.5632
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 100 [LightGBM] [Warning] min_data_in_leaf is set=8, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=8 [1000] train_set's rmse: 20.9905 valid_set's rmse: 34.7044 [2000] train_set's rmse: 15.8582 valid_set's rmse: 34.2825
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 31 [LightGBM] [Warning] min_data_in_leaf is set=7, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=7 [1000] train_set's rmse: 19.6857 valid_set's rmse: 34.469
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 14 [LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2 [1000] train_set's rmse: 27.9437 valid_set's rmse: 35.3615 [2000] train_set's rmse: 23.337 valid_set's rmse: 34.1087 [3000] train_set's rmse: 20.7063 valid_set's rmse: 33.7677 [4000] train_set's rmse: 18.725 valid_set's rmse: 33.542
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 43 [LightGBM] [Warning] min_data_in_leaf is set=18, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=18 [1000] train_set's rmse: 29.7325 valid_set's rmse: 36.0825 [2000] train_set's rmse: 25.4067 valid_set's rmse: 34.4962 [3000] train_set's rmse: 22.9338 valid_set's rmse: 34.1725 [4000] train_set's rmse: 21.1119 valid_set's rmse: 34.0167 [5000] train_set's rmse: 19.5796 valid_set's rmse: 33.9807 [6000] train_set's rmse: 18.2769 valid_set's rmse: 33.9623 [7000] train_set's rmse: 17.1712 valid_set's rmse: 33.957
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 81 [LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2 [1000] train_set's rmse: 32.5919 valid_set's rmse: 38.1396 [2000] train_set's rmse: 27.7805 valid_set's rmse: 35.7037 [3000] train_set's rmse: 25.0226 valid_set's rmse: 34.7981 [4000] train_set's rmse: 23.1872 valid_set's rmse: 34.3871 [5000] train_set's rmse: 21.7221 valid_set's rmse: 34.1688
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 12 [LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2 [1000] train_set's rmse: 33.765 valid_set's rmse: 38.7796 [2000] train_set's rmse: 28.7996 valid_set's rmse: 35.7192 [3000] train_set's rmse: 26.1046 valid_set's rmse: 34.6923 [4000] train_set's rmse: 24.197 valid_set's rmse: 34.2406 [5000] train_set's rmse: 22.8028 valid_set's rmse: 34.0824 [6000] train_set's rmse: 21.62 valid_set's rmse: 33.9987 [7000] train_set's rmse: 20.5916 valid_set's rmse: 33.8735 [8000] train_set's rmse: 19.7096 valid_set's rmse: 33.8501 [9000] train_set's rmse: 18.8877 valid_set's rmse: 33.8185 [10000] train_set's rmse: 18.1494 valid_set's rmse: 33.7606 [11000] train_set's rmse: 17.4337 valid_set's rmse: 33.6929 [12000] train_set's rmse: 16.7629 valid_set's rmse: 33.6904 [13000] train_set's rmse: 16.1047 valid_set's rmse: 33.6698 [14000] train_set's rmse: 15.5492 valid_set's rmse: 33.7125 [15000] train_set's rmse: 15.0468 valid_set's rmse: 33.7051
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 66 [LightGBM] [Warning] min_data_in_leaf is set=16, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=16 [1000] train_set's rmse: 30.5837 valid_set's rmse: 36.9008 [2000] train_set's rmse: 25.9317 valid_set's rmse: 34.9166 [3000] train_set's rmse: 23.2662 valid_set's rmse: 34.2273 [4000] train_set's rmse: 21.2949 valid_set's rmse: 33.9312 [5000] train_set's rmse: 19.789 valid_set's rmse: 33.7961 [6000] train_set's rmse: 18.5343 valid_set's rmse: 33.7055 [7000] train_set's rmse: 17.5054 valid_set's rmse: 33.7044
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 26 [LightGBM] [Warning] min_data_in_leaf is set=29, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=29 [1000] train_set's rmse: 24.0415 valid_set's rmse: 34.4937 [2000] train_set's rmse: 19.4611 valid_set's rmse: 34.0283 [3000] train_set's rmse: 16.6203 valid_set's rmse: 33.8922
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 72 [LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2 [1000] train_set's rmse: 39.7991 valid_set's rmse: 43.6165 [2000] train_set's rmse: 34.1174 valid_set's rmse: 39.1085 [3000] train_set's rmse: 31.0026 valid_set's rmse: 37.0059 [4000] train_set's rmse: 29.0808 valid_set's rmse: 35.9464 [5000] train_set's rmse: 27.5807 valid_set's rmse: 35.296 [6000] train_set's rmse: 26.3608 valid_set's rmse: 34.8807 [7000] train_set's rmse: 25.2911 valid_set's rmse: 34.57 [8000] train_set's rmse: 24.409 valid_set's rmse: 34.3655 [9000] train_set's rmse: 23.6436 valid_set's rmse: 34.1733 [10000] train_set's rmse: 22.944 valid_set's rmse: 34.0221 [11000] train_set's rmse: 22.3051 valid_set's rmse: 33.9413 [12000] train_set's rmse: 21.7343 valid_set's rmse: 33.8735 [13000] train_set's rmse: 21.2368 valid_set's rmse: 33.8684 [14000] train_set's rmse: 20.7405 valid_set's rmse: 33.7856 [15000] train_set's rmse: 20.2755 valid_set's rmse: 33.743 [16000] train_set's rmse: 19.8394 valid_set's rmse: 33.7371 [17000] train_set's rmse: 19.4172 valid_set's rmse: 33.7518 [18000] train_set's rmse: 18.9953 valid_set's rmse: 33.7616 [19000] train_set's rmse: 18.6004 valid_set's rmse: 33.7516 [20000] train_set's rmse: 18.2323 valid_set's rmse: 33.7308 [21000] train_set's rmse: 17.8852 valid_set's rmse: 33.7272 [22000] train_set's rmse: 17.5591 valid_set's rmse: 33.7095 [23000] train_set's rmse: 17.2346 valid_set's rmse: 33.7132 [24000] train_set's rmse: 16.9085 valid_set's rmse: 33.7139 [25000] train_set's rmse: 16.6026 valid_set's rmse: 33.6944 [26000] train_set's rmse: 16.319 valid_set's rmse: 33.691 [27000] train_set's rmse: 16.0134 valid_set's rmse: 33.7084 [28000] train_set's rmse: 15.7386 valid_set's rmse: 33.7134 [29000] train_set's rmse: 15.4681 valid_set's rmse: 33.7067 [30000] train_set's rmse: 15.2027 valid_set's rmse: 33.7102
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 96 [LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2 [1000] train_set's rmse: 39.0682 valid_set's rmse: 42.7994 [2000] train_set's rmse: 33.3273 valid_set's rmse: 38.4291 [3000] train_set's rmse: 30.3258 valid_set's rmse: 36.4593 [4000] train_set's rmse: 28.4431 valid_set's rmse: 35.4461 [5000] train_set's rmse: 26.9193 valid_set's rmse: 34.8865 [6000] train_set's rmse: 25.682 valid_set's rmse: 34.4952 [7000] train_set's rmse: 24.6436 valid_set's rmse: 34.2382 [8000] train_set's rmse: 23.7964 valid_set's rmse: 34.0686 [9000] train_set's rmse: 23.0831 valid_set's rmse: 34.0006 [10000] train_set's rmse: 22.4129 valid_set's rmse: 33.9941 [11000] train_set's rmse: 21.802 valid_set's rmse: 33.9752 [12000] train_set's rmse: 21.2557 valid_set's rmse: 33.8911 [13000] train_set's rmse: 20.7567 valid_set's rmse: 33.8442 [14000] train_set's rmse: 20.2665 valid_set's rmse: 33.7895 [15000] train_set's rmse: 19.8002 valid_set's rmse: 33.7611 [16000] train_set's rmse: 19.3646 valid_set's rmse: 33.7254 [17000] train_set's rmse: 18.9354 valid_set's rmse: 33.672 [18000] train_set's rmse: 18.5362 valid_set's rmse: 33.658 [19000] train_set's rmse: 18.1611 valid_set's rmse: 33.6519 [20000] train_set's rmse: 17.7889 valid_set's rmse: 33.6151 [21000] train_set's rmse: 17.4293 valid_set's rmse: 33.5814 [22000] train_set's rmse: 17.0737 valid_set's rmse: 33.5517
Ran out of time, early stopping on iteration 23118. Best iteration is: [22514] train_set's rmse: 16.8911 valid_set's rmse: 33.532
[23000] train_set's rmse: 16.7196 valid_set's rmse: 33.5397
Time limit exceeded
Fitted model: LightGBM_BAG_L1\T0 ...
-34.2066 = Validation score (root_mean_squared_error)
1.42s = Training runtime
0.05s = Validation runtime
Fitted model: LightGBM_BAG_L1\T1 ...
-36.237 = Validation score (root_mean_squared_error)
1.31s = Training runtime
0.03s = Validation runtime
Fitted model: LightGBM_BAG_L1\T2 ...
-33.8006 = Validation score (root_mean_squared_error)
10.3s = Training runtime
1.46s = Validation runtime
Fitted model: LightGBM_BAG_L1\T3 ...
-35.8997 = Validation score (root_mean_squared_error)
0.45s = Training runtime
0.01s = Validation runtime
Fitted model: LightGBM_BAG_L1\T4 ...
-36.3995 = Validation score (root_mean_squared_error)
2.39s = Training runtime
0.07s = Validation runtime
Fitted model: LightGBM_BAG_L1\T5 ...
-33.7402 = Validation score (root_mean_squared_error)
5.45s = Training runtime
0.84s = Validation runtime
Fitted model: LightGBM_BAG_L1\T6 ...
-36.2174 = Validation score (root_mean_squared_error)
0.54s = Training runtime
0.02s = Validation runtime
Fitted model: LightGBM_BAG_L1\T7 ...
-33.5505 = Validation score (root_mean_squared_error)
2.67s = Training runtime
0.17s = Validation runtime
Fitted model: LightGBM_BAG_L1\T8 ...
-34.2754 = Validation score (root_mean_squared_error)
3.09s = Training runtime
0.13s = Validation runtime
Fitted model: LightGBM_BAG_L1\T9 ...
-34.2738 = Validation score (root_mean_squared_error)
2.39s = Training runtime
0.11s = Validation runtime
Fitted model: LightGBM_BAG_L1\T10 ...
-33.5239 = Validation score (root_mean_squared_error)
2.58s = Training runtime
0.23s = Validation runtime
Fitted model: LightGBM_BAG_L1\T11 ...
-33.926 = Validation score (root_mean_squared_error)
3.89s = Training runtime
0.53s = Validation runtime
Fitted model: LightGBM_BAG_L1\T12 ...
-34.1494 = Validation score (root_mean_squared_error)
3.53s = Training runtime
0.34s = Validation runtime
Fitted model: LightGBM_BAG_L1\T13 ...
-33.6575 = Validation score (root_mean_squared_error)
8.03s = Training runtime
1.23s = Validation runtime
Fitted model: LightGBM_BAG_L1\T14 ...
-33.6944 = Validation score (root_mean_squared_error)
5.97s = Training runtime
0.92s = Validation runtime
Fitted model: LightGBM_BAG_L1\T15 ...
-33.8626 = Validation score (root_mean_squared_error)
2.51s = Training runtime
0.16s = Validation runtime
Fitted model: LightGBM_BAG_L1\T16 ...
-33.6859 = Validation score (root_mean_squared_error)
16.64s = Training runtime
2.56s = Validation runtime
Fitted model: LightGBM_BAG_L1\T17 ...
-33.532 = Validation score (root_mean_squared_error)
12.28s = Training runtime
2.17s = Validation runtime
Fitting model: LightGBM_BAG_L1\T0 ... Training model for up to 577.54s of the 1977.53s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50 [1000] train_set's rmse: 13.5512 valid_set's rmse: 32.4189
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-33.7127 = Validation score (root_mean_squared_error)
6.74s = Training runtime
0.28s = Validation runtime
Fitting model: LightGBM_BAG_L1\T1 ... Training model for up to 571.75s of the 1971.73s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50 [1000] train_set's rmse: 13.5512 valid_set's rmse: 32.4189
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.1345 = Validation score (root_mean_squared_error)
6.0s = Training runtime
0.25s = Validation runtime
Fitting model: LightGBM_BAG_L1\T2 ... Training model for up to 566.61s of the 1966.6s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50 [1000] train_set's rmse: 13.5512 valid_set's rmse: 32.4189
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-33.6307 = Validation score (root_mean_squared_error)
14.85s = Training runtime
1.67s = Validation runtime
Fitting model: LightGBM_BAG_L1\T3 ... Training model for up to 561.64s of the 1961.63s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50 [1000] train_set's rmse: 13.5512 valid_set's rmse: 32.4189
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.0631 = Validation score (root_mean_squared_error)
5.18s = Training runtime
0.22s = Validation runtime
Fitting model: LightGBM_BAG_L1\T4 ... Training model for up to 556.48s of the 1956.46s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50 [1000] train_set's rmse: 13.5512 valid_set's rmse: 32.4189
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.1691 = Validation score (root_mean_squared_error)
7.04s = Training runtime
0.28s = Validation runtime
Fitting model: LightGBM_BAG_L1\T5 ... Training model for up to 551.41s of the 1951.4s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50 [1000] train_set's rmse: 13.5512 valid_set's rmse: 32.4189
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-33.6185 = Validation score (root_mean_squared_error)
9.99s = Training runtime
1.04s = Validation runtime
Fitting model: LightGBM_BAG_L1\T6 ... Training model for up to 546.46s of the 1946.44s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50 [1000] train_set's rmse: 13.5512 valid_set's rmse: 32.4189
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.1303 = Validation score (root_mean_squared_error)
4.94s = Training runtime
0.23s = Validation runtime
Fitting model: LightGBM_BAG_L1\T7 ... Training model for up to 541.62s of the 1941.61s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50 [1000] train_set's rmse: 13.5512 valid_set's rmse: 32.4189
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-33.5805 = Validation score (root_mean_squared_error)
7.56s = Training runtime
0.38s = Validation runtime
Fitting model: LightGBM_BAG_L1\T8 ... Training model for up to 536.3s of the 1936.28s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50 [1000] train_set's rmse: 13.5512 valid_set's rmse: 32.4189
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-33.7267 = Validation score (root_mean_squared_error)
7.59s = Training runtime
0.33s = Validation runtime
Fitting model: LightGBM_BAG_L1\T9 ... Training model for up to 531.37s of the 1931.36s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50 [1000] train_set's rmse: 13.5512 valid_set's rmse: 32.4189
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-33.7264 = Validation score (root_mean_squared_error)
6.9s = Training runtime
0.32s = Validation runtime
Fitting model: LightGBM_BAG_L1\T10 ... Training model for up to 526.45s of the 1926.43s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50 [1000] train_set's rmse: 13.5512 valid_set's rmse: 32.4189
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-33.5752 = Validation score (root_mean_squared_error)
7.26s = Training runtime
0.43s = Validation runtime
Fitting model: LightGBM_BAG_L1\T11 ... Training model for up to 521.35s of the 1921.34s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50 [1000] train_set's rmse: 13.5512 valid_set's rmse: 32.4189
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-33.6559 = Validation score (root_mean_squared_error)
8.44s = Training runtime
0.75s = Validation runtime
Fitting model: LightGBM_BAG_L1\T12 ... Training model for up to 516.35s of the 1916.34s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50 [1000] train_set's rmse: 13.5512 valid_set's rmse: 32.4189
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-33.7011 = Validation score (root_mean_squared_error)
8.71s = Training runtime
0.57s = Validation runtime
Fitting model: LightGBM_BAG_L1\T13 ... Training model for up to 510.7s of the 1910.69s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50 [1000] train_set's rmse: 13.5512 valid_set's rmse: 32.4189
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-33.602 = Validation score (root_mean_squared_error)
12.98s = Training runtime
1.43s = Validation runtime
Fitting model: LightGBM_BAG_L1\T14 ... Training model for up to 505.33s of the 1905.32s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50 [1000] train_set's rmse: 13.5512 valid_set's rmse: 32.4189
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-33.6094 = Validation score (root_mean_squared_error)
10.52s = Training runtime
1.12s = Validation runtime
Fitting model: LightGBM_BAG_L1\T15 ... Training model for up to 500.37s of the 1900.35s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50 [1000] train_set's rmse: 13.5512 valid_set's rmse: 32.4189
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-33.6431 = Validation score (root_mean_squared_error)
7.24s = Training runtime
0.39s = Validation runtime
Fitting model: LightGBM_BAG_L1\T16 ... Training model for up to 495.19s of the 1895.18s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50 [1000] train_set's rmse: 13.5512 valid_set's rmse: 32.4189
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-33.6076 = Validation score (root_mean_squared_error)
21.89s = Training runtime
2.77s = Validation runtime
Fitting model: LightGBM_BAG_L1\T17 ... Training model for up to 489.52s of the 1889.5s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50 [1000] train_set's rmse: 13.5512 valid_set's rmse: 32.4189
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-33.5768 = Validation score (root_mean_squared_error)
16.77s = Training runtime
2.38s = Validation runtime
Fitting model: WeightedEnsemble_L2 ... Training model for up to 360.0s of the 1884.49s of remaining time.
-33.5026 = Validation score (root_mean_squared_error)
0.31s = Training runtime
0.0s = Validation runtime
Fitting 1 L2 models ...
Hyperparameter tuning model: LightGBM_BAG_L2 ...
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 14 [LightGBM] [Warning] min_data_in_leaf is set=25, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=25
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 35 [LightGBM] [Warning] min_data_in_leaf is set=29, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=29
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 42 [LightGBM] [Warning] min_data_in_leaf is set=29, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=29
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 21 [LightGBM] [Warning] min_data_in_leaf is set=30, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=30
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 44 [LightGBM] [Warning] min_data_in_leaf is set=30, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=30
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 100 [LightGBM] [Warning] min_data_in_leaf is set=21, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=21
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 32 [LightGBM] [Warning] min_data_in_leaf is set=30, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=30
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 29 [LightGBM] [Warning] min_data_in_leaf is set=30, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=30 [1000] train_set's rmse: 24.0589 valid_set's rmse: 34.9057
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 97 [LightGBM] [Warning] min_data_in_leaf is set=30, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=30
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 97 [LightGBM] [Warning] min_data_in_leaf is set=8, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=8
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 12 [LightGBM] [Warning] min_data_in_leaf is set=26, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=26
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 65 [LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 39 [LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2 [1000] train_set's rmse: 24.6722 valid_set's rmse: 34.7926
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 99 [LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 15 [LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 90 [LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2 [1000] train_set's rmse: 26.0107 valid_set's rmse: 34.8234
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 66 [LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2 [1000] train_set's rmse: 24.0114 valid_set's rmse: 34.7958
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 40 [LightGBM] [Warning] min_data_in_leaf is set=6, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=6
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 32 [LightGBM] [Warning] min_data_in_leaf is set=6, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=6 [1000] train_set's rmse: 25.3654 valid_set's rmse: 34.9131
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 69 [LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2 [1000] train_set's rmse: 21.8824 valid_set's rmse: 35.2274
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 100 [LightGBM] [Warning] min_data_in_leaf is set=30, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=30 [1000] train_set's rmse: 23.2967 valid_set's rmse: 34.8243
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 26 [LightGBM] [Warning] min_data_in_leaf is set=30, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=30 [1000] train_set's rmse: 21.3178 valid_set's rmse: 34.9505
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 100 [LightGBM] [Warning] min_data_in_leaf is set=26, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=26 [1000] train_set's rmse: 28.4631 valid_set's rmse: 34.9855
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 53 [LightGBM] [Warning] min_data_in_leaf is set=26, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=26
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 63 [LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 76 [LightGBM] [Warning] min_data_in_leaf is set=24, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=24 [1000] train_set's rmse: 27.4325 valid_set's rmse: 34.9066
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 66 [LightGBM] [Warning] min_data_in_leaf is set=30, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=30
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 98 [LightGBM] [Warning] min_data_in_leaf is set=12, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=12 [1000] train_set's rmse: 26.8367 valid_set's rmse: 34.9128
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 12 [LightGBM] [Warning] min_data_in_leaf is set=18, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=18 [1000] train_set's rmse: 21.1729 valid_set's rmse: 34.823
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 18 [LightGBM] [Warning] min_data_in_leaf is set=14, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=14
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 100 [LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2 [1000] train_set's rmse: 16.8684 valid_set's rmse: 35.0639
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 80 [LightGBM] [Warning] min_data_in_leaf is set=23, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=23 [1000] train_set's rmse: 21.6736 valid_set's rmse: 34.9006
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 94 [LightGBM] [Warning] min_data_in_leaf is set=20, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=20 [1000] train_set's rmse: 20.9967 valid_set's rmse: 34.8258
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 56 [LightGBM] [Warning] min_data_in_leaf is set=24, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=24 [1000] train_set's rmse: 21.493 valid_set's rmse: 34.9394
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 35 [LightGBM] [Warning] min_data_in_leaf is set=16, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=16 [1000] train_set's rmse: 20.0258 valid_set's rmse: 35.0131
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 49 [LightGBM] [Warning] min_data_in_leaf is set=18, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=18 [1000] train_set's rmse: 27.2477 valid_set's rmse: 34.8496
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 18 [LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2 [1000] train_set's rmse: 25.9815 valid_set's rmse: 34.8486
Time limit exceeded
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2.55s = Training runtime
0.06s = Validation runtime
Fitted model: LightGBM_BAG_L2\T37 ...
-34.7564 = Validation score (root_mean_squared_error)
3.66s = Training runtime
0.07s = Validation runtime
Fitting model: LightGBM_BAG_L2\T0 ... Training model for up to 711.53s of the 1758.47s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.083 = Validation score (root_mean_squared_error)
2.74s = Training runtime
0.07s = Validation runtime
Fitting model: LightGBM_BAG_L2\T1 ... Training model for up to 709.16s of the 1756.11s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.0782 = Validation score (root_mean_squared_error)
3.33s = Training runtime
0.08s = Validation runtime
Fitting model: LightGBM_BAG_L2\T2 ... Training model for up to 706.64s of the 1753.59s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.0631 = Validation score (root_mean_squared_error)
4.01s = Training runtime
0.09s = Validation runtime
Fitting model: LightGBM_BAG_L2\T3 ... Training model for up to 704.23s of the 1751.17s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.0627 = Validation score (root_mean_squared_error)
3.44s = Training runtime
0.08s = Validation runtime
Fitting model: LightGBM_BAG_L2\T4 ... Training model for up to 701.69s of the 1748.63s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.1294 = Validation score (root_mean_squared_error)
3.43s = Training runtime
0.08s = Validation runtime
Fitting model: LightGBM_BAG_L2\T5 ... Training model for up to 699.21s of the 1746.15s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.087 = Validation score (root_mean_squared_error)
3.06s = Training runtime
0.08s = Validation runtime
Fitting model: LightGBM_BAG_L2\T6 ... Training model for up to 696.8s of the 1743.74s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.0772 = Validation score (root_mean_squared_error)
3.1s = Training runtime
0.08s = Validation runtime
Fitting model: LightGBM_BAG_L2\T7 ... Training model for up to 694.42s of the 1741.37s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.1199 = Validation score (root_mean_squared_error)
3.31s = Training runtime
0.07s = Validation runtime
Fitting model: LightGBM_BAG_L2\T8 ... Training model for up to 692.01s of the 1738.96s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.0591 = Validation score (root_mean_squared_error)
6.41s = Training runtime
0.13s = Validation runtime
Fitting model: LightGBM_BAG_L2\T9 ... Training model for up to 689.42s of the 1736.36s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.0737 = Validation score (root_mean_squared_error)
3.05s = Training runtime
0.08s = Validation runtime
Fitting model: LightGBM_BAG_L2\T10 ... Training model for up to 686.71s of the 1733.66s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.1126 = Validation score (root_mean_squared_error)
3.01s = Training runtime
0.09s = Validation runtime
Fitting model: LightGBM_BAG_L2\T11 ... Training model for up to 684.15s of the 1731.1s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.0693 = Validation score (root_mean_squared_error)
4.53s = Training runtime
0.11s = Validation runtime
Fitting model: LightGBM_BAG_L2\T12 ... Training model for up to 681.65s of the 1728.6s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.0437 = Validation score (root_mean_squared_error)
3.63s = Training runtime
0.08s = Validation runtime
Fitting model: LightGBM_BAG_L2\T13 ... Training model for up to 679.26s of the 1726.2s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.0308 = Validation score (root_mean_squared_error)
4.97s = Training runtime
0.1s = Validation runtime
Fitting model: LightGBM_BAG_L2\T14 ... Training model for up to 676.55s of the 1723.49s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.0759 = Validation score (root_mean_squared_error)
3.3s = Training runtime
0.08s = Validation runtime
Fitting model: LightGBM_BAG_L2\T15 ... Training model for up to 674.1s of the 1721.05s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.0406 = Validation score (root_mean_squared_error)
3.48s = Training runtime
0.08s = Validation runtime
Fitting model: LightGBM_BAG_L2\T16 ... Training model for up to 671.76s of the 1718.7s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.0253 = Validation score (root_mean_squared_error)
6.95s = Training runtime
0.12s = Validation runtime
Fitting model: LightGBM_BAG_L2\T17 ... Training model for up to 669.13s of the 1716.08s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.0259 = Validation score (root_mean_squared_error)
7.77s = Training runtime
0.13s = Validation runtime
Fitting model: LightGBM_BAG_L2\T18 ... Training model for up to 666.59s of the 1713.53s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.0546 = Validation score (root_mean_squared_error)
4.79s = Training runtime
0.11s = Validation runtime
Fitting model: LightGBM_BAG_L2\T19 ... Training model for up to 664.2s of the 1711.15s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.0609 = Validation score (root_mean_squared_error)
5.68s = Training runtime
0.11s = Validation runtime
Fitting model: LightGBM_BAG_L2\T20 ... Training model for up to 661.79s of the 1708.74s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.1235 = Validation score (root_mean_squared_error)
6.79s = Training runtime
0.12s = Validation runtime
Fitting model: LightGBM_BAG_L2\T21 ... Training model for up to 659.33s of the 1706.28s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.0386 = Validation score (root_mean_squared_error)
6.38s = Training runtime
0.14s = Validation runtime
Fitting model: LightGBM_BAG_L2\T22 ... Training model for up to 656.94s of the 1703.89s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.0694 = Validation score (root_mean_squared_error)
8.57s = Training runtime
0.16s = Validation runtime
Fitting model: LightGBM_BAG_L2\T23 ... Training model for up to 654.58s of the 1701.52s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.0758 = Validation score (root_mean_squared_error)
4.54s = Training runtime
0.12s = Validation runtime
Fitting model: LightGBM_BAG_L2\T24 ... Training model for up to 651.92s of the 1698.87s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.07 = Validation score (root_mean_squared_error)
2.86s = Training runtime
0.07s = Validation runtime
Fitting model: LightGBM_BAG_L2\T25 ... Training model for up to 649.5s of the 1696.45s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.182 = Validation score (root_mean_squared_error)
2.58s = Training runtime
0.07s = Validation runtime
Fitting model: LightGBM_BAG_L2\T26 ... Training model for up to 647.12s of the 1694.07s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.0575 = Validation score (root_mean_squared_error)
4.99s = Training runtime
0.13s = Validation runtime
Fitting model: LightGBM_BAG_L2\T27 ... Training model for up to 644.75s of the 1691.7s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.133 = Validation score (root_mean_squared_error)
2.52s = Training runtime
0.07s = Validation runtime
Fitting model: LightGBM_BAG_L2\T28 ... Training model for up to 642.34s of the 1689.29s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.0496 = Validation score (root_mean_squared_error)
5.71s = Training runtime
0.12s = Validation runtime
Fitting model: LightGBM_BAG_L2\T29 ... Training model for up to 639.95s of the 1686.9s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.0436 = Validation score (root_mean_squared_error)
7.65s = Training runtime
0.14s = Validation runtime
Fitting model: LightGBM_BAG_L2\T30 ... Training model for up to 637.33s of the 1684.28s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.0928 = Validation score (root_mean_squared_error)
3.09s = Training runtime
0.07s = Validation runtime
Fitting model: LightGBM_BAG_L2\T31 ... Training model for up to 634.84s of the 1681.79s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.0809 = Validation score (root_mean_squared_error)
11.68s = Training runtime
0.2s = Validation runtime
Fitting model: LightGBM_BAG_L2\T32 ... Training model for up to 632.39s of the 1679.34s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.0543 = Validation score (root_mean_squared_error)
8.59s = Training runtime
0.12s = Validation runtime
Fitting model: LightGBM_BAG_L2\T33 ... Training model for up to 630.02s of the 1676.97s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.0423 = Validation score (root_mean_squared_error)
7.76s = Training runtime
0.16s = Validation runtime
Fitting model: LightGBM_BAG_L2\T34 ... Training model for up to 626.96s of the 1673.91s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.0616 = Validation score (root_mean_squared_error)
7.22s = Training runtime
0.14s = Validation runtime
Fitting model: LightGBM_BAG_L2\T35 ... Training model for up to 624.59s of the 1671.54s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.0792 = Validation score (root_mean_squared_error)
8.8s = Training runtime
0.14s = Validation runtime
Fitting model: LightGBM_BAG_L2\T36 ... Training model for up to 622.15s of the 1669.09s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.0465 = Validation score (root_mean_squared_error)
5.13s = Training runtime
0.12s = Validation runtime
Fitting model: LightGBM_BAG_L2\T37 ... Training model for up to 619.44s of the 1666.39s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.0305 = Validation score (root_mean_squared_error)
6.06s = Training runtime
0.13s = Validation runtime
Fitting model: WeightedEnsemble_L3 ... Training model for up to 360.0s of the 1663.7s of remaining time.
-33.9944 = Validation score (root_mean_squared_error)
0.31s = Training runtime
0.0s = Validation runtime
Fitting 1 L3 models ...
Hyperparameter tuning model: LightGBM_BAG_L3 ...
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 14 [LightGBM] [Warning] min_data_in_leaf is set=25, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=25
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 35 [LightGBM] [Warning] min_data_in_leaf is set=29, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=29
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 42 [LightGBM] [Warning] min_data_in_leaf is set=29, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=29
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 69 [LightGBM] [Warning] min_data_in_leaf is set=23, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=23
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 23 [LightGBM] [Warning] min_data_in_leaf is set=25, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=25
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 89 [LightGBM] [Warning] min_data_in_leaf is set=21, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=21
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 29 [LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2 [1000] train_set's rmse: 31.2341 valid_set's rmse: 36.0425
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 12 [LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2 [1000] train_set's rmse: 28.2101 valid_set's rmse: 36.4005
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 60 [LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 97 [LightGBM] [Warning] min_data_in_leaf is set=5, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=5 [1000] train_set's rmse: 32.0735 valid_set's rmse: 36.1138
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50 [LightGBM] [Warning] min_data_in_leaf is set=19, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=19 [1000] train_set's rmse: 18.3798 valid_set's rmse: 36.4831
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 58 [LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 58 [LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 84 [LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2 [1000] train_set's rmse: 32.031 valid_set's rmse: 36.1212
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 82 [LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2 [1000] train_set's rmse: 16.5716 valid_set's rmse: 36.6824
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 93 [LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 83 [LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 12 [LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 39 [LightGBM] [Warning] min_data_in_leaf is set=4, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=4
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 36 [LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 12 [LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2 [1000] train_set's rmse: 32.0177 valid_set's rmse: 36.0923
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 12 [LightGBM] [Warning] min_data_in_leaf is set=30, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=30 [1000] train_set's rmse: 32.1847 valid_set's rmse: 36.1371
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 62 [LightGBM] [Warning] min_data_in_leaf is set=30, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=30
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 100 [LightGBM] [Warning] min_data_in_leaf is set=30, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=30 [1000] train_set's rmse: 29.2274 valid_set's rmse: 36.5437
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 100 [LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 12 [LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 30 [LightGBM] [Warning] min_data_in_leaf is set=23, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=23
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 100 [LightGBM] [Warning] min_data_in_leaf is set=30, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=30
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 100 [LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 100 [LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 68 [LightGBM] [Warning] min_data_in_leaf is set=30, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=30
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 70 [LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 12 [LightGBM] [Warning] min_data_in_leaf is set=8, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=8
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 38 [LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 81 [LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2 [1000] train_set's rmse: 31.011 valid_set's rmse: 36.0485
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 100 [LightGBM] [Warning] min_data_in_leaf is set=30, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=30 [1000] train_set's rmse: 32.1788 valid_set's rmse: 36.1283
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 33 [LightGBM] [Warning] min_data_in_leaf is set=27, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=27
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 45 [LightGBM] [Warning] min_data_in_leaf is set=24, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=24
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 100 [LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 100 [LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 23 [LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 78 [LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 96 [LightGBM] [Warning] min_data_in_leaf is set=6, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=6
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 73 [LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 57 [LightGBM] [Warning] min_data_in_leaf is set=30, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=30
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 86 [LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 68 [LightGBM] [Warning] min_data_in_leaf is set=5, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=5
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 16 [LightGBM] [Warning] min_data_in_leaf is set=30, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=30 [1000] train_set's rmse: 29.0247 valid_set's rmse: 36.5497
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 70 [LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 17 [LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2 [1000] train_set's rmse: 32.0362 valid_set's rmse: 36.0926
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 31 [LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 97 [LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 52 [LightGBM] [Warning] min_data_in_leaf is set=26, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=26 [1000] train_set's rmse: 32.1541 valid_set's rmse: 36.1383
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 36 [LightGBM] [Warning] min_data_in_leaf is set=29, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=29 [1000] train_set's rmse: 32.1635 valid_set's rmse: 36.135
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 52 [LightGBM] [Warning] min_data_in_leaf is set=28, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=28 [1000] train_set's rmse: 32.1586 valid_set's rmse: 36.1376
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 43 [LightGBM] [Warning] min_data_in_leaf is set=27, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=27
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 68 [LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 57 [LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 36 [LightGBM] [Warning] min_data_in_leaf is set=23, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=23 [1000] train_set's rmse: 31.1164 valid_set's rmse: 36.3351
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 12 [LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 12 [LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 43 [LightGBM] [Warning] min_data_in_leaf is set=4, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=4
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 87 [LightGBM] [Warning] min_data_in_leaf is set=5, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=5
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 67 [LightGBM] [Warning] min_data_in_leaf is set=4, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=4
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 28 [LightGBM] [Warning] min_data_in_leaf is set=5, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=5
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 21 [LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2 [1000] train_set's rmse: 31.7871 valid_set's rmse: 36.0596
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 43 [LightGBM] [Warning] min_data_in_leaf is set=5, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=5
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 95 [LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 51 [LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 81 [LightGBM] [Warning] min_data_in_leaf is set=15, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=15
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 43 [LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 88 [LightGBM] [Warning] min_data_in_leaf is set=3, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=3
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 12 [LightGBM] [Warning] min_data_in_leaf is set=17, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=17 [1000] train_set's rmse: 32.1531 valid_set's rmse: 36.0907
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 79 [LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2 [1000] train_set's rmse: 31.537 valid_set's rmse: 36.0592
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 71 [LightGBM] [Warning] min_data_in_leaf is set=9, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=9
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 33 [LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 96 [LightGBM] [Warning] min_data_in_leaf is set=7, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=7
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 12 [LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 18 [LightGBM] [Warning] min_data_in_leaf is set=30, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=30 [1000] train_set's rmse: 32.1636 valid_set's rmse: 36.1245
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 12 [LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 41 [LightGBM] [Warning] min_data_in_leaf is set=3, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=3
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 63 [LightGBM] [Warning] min_data_in_leaf is set=4, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=4
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 12 [LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2 [1000] train_set's rmse: 31.4191 valid_set's rmse: 36.0378
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 94 [LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 12 [LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 13 [LightGBM] [Warning] min_data_in_leaf is set=30, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=30
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 12 [LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 64 [LightGBM] [Warning] min_data_in_leaf is set=3, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=3
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 75 [LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 19 [LightGBM] [Warning] min_data_in_leaf is set=3, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=3
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 43 [LightGBM] [Warning] min_data_in_leaf is set=14, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=14
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 12 [LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
Ran out of time, early stopping on iteration 734. Best iteration is:
[734] train_set's rmse: 19.196 valid_set's rmse: 37.1933
Time limit exceeded
Fitted model: LightGBM_BAG_L3\T0 ...
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-37.1933 = Validation score (root_mean_squared_error)
8.57s = Training runtime
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Fitting model: LightGBM_BAG_L3\T0 ... Training model for up to 940.25s of the 1494.96s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.8507 = Validation score (root_mean_squared_error)
4.54s = Training runtime
0.09s = Validation runtime
Fitting model: LightGBM_BAG_L3\T1 ... Training model for up to 936.15s of the 1490.86s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.8205 = Validation score (root_mean_squared_error)
4.47s = Training runtime
0.09s = Validation runtime
Fitting model: LightGBM_BAG_L3\T2 ... Training model for up to 932.74s of the 1487.44s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.7999 = Validation score (root_mean_squared_error)
4.94s = Training runtime
0.1s = Validation runtime
Fitting model: LightGBM_BAG_L3\T3 ... Training model for up to 929.55s of the 1484.26s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.8346 = Validation score (root_mean_squared_error)
4.41s = Training runtime
0.09s = Validation runtime
Fitting model: LightGBM_BAG_L3\T4 ... Training model for up to 926.65s of the 1481.36s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.8253 = Validation score (root_mean_squared_error)
8.92s = Training runtime
0.13s = Validation runtime
Fitting model: LightGBM_BAG_L3\T5 ... Training model for up to 923.67s of the 1478.38s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.7974 = Validation score (root_mean_squared_error)
8.0s = Training runtime
0.12s = Validation runtime
Fitting model: LightGBM_BAG_L3\T6 ... Training model for up to 920.52s of the 1475.23s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.8397 = Validation score (root_mean_squared_error)
3.96s = Training runtime
0.09s = Validation runtime
Fitting model: LightGBM_BAG_L3\T7 ... Training model for up to 917.39s of the 1472.1s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.7208 = Validation score (root_mean_squared_error)
3.69s = Training runtime
0.1s = Validation runtime
Fitting model: LightGBM_BAG_L3\T8 ... Training model for up to 914.57s of the 1469.28s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.7858 = Validation score (root_mean_squared_error)
5.46s = Training runtime
0.11s = Validation runtime
Fitting model: LightGBM_BAG_L3\T9 ... Training model for up to 911.49s of the 1466.2s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.747 = Validation score (root_mean_squared_error)
3.67s = Training runtime
0.1s = Validation runtime
Fitting model: LightGBM_BAG_L3\T10 ... Training model for up to 908.7s of the 1463.41s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.7301 = Validation score (root_mean_squared_error)
4.93s = Training runtime
0.12s = Validation runtime
Fitting model: LightGBM_BAG_L3\T11 ... Training model for up to 905.29s of the 1459.99s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.8003 = Validation score (root_mean_squared_error)
10.95s = Training runtime
0.15s = Validation runtime
Fitting model: LightGBM_BAG_L3\T12 ... Training model for up to 902.38s of the 1457.09s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.8203 = Validation score (root_mean_squared_error)
5.99s = Training runtime
0.1s = Validation runtime
Fitting model: LightGBM_BAG_L3\T13 ... Training model for up to 899.48s of the 1454.19s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.7371 = Validation score (root_mean_squared_error)
3.27s = Training runtime
0.08s = Validation runtime
Fitting model: LightGBM_BAG_L3\T14 ... Training model for up to 896.54s of the 1451.25s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.7278 = Validation score (root_mean_squared_error)
4.3s = Training runtime
0.14s = Validation runtime
Fitting model: LightGBM_BAG_L3\T15 ... Training model for up to 893.71s of the 1448.41s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.845 = Validation score (root_mean_squared_error)
12.83s = Training runtime
0.15s = Validation runtime
Fitting model: LightGBM_BAG_L3\T16 ... Training model for up to 890.69s of the 1445.39s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.724 = Validation score (root_mean_squared_error)
3.66s = Training runtime
0.1s = Validation runtime
Fitting model: LightGBM_BAG_L3\T17 ... Training model for up to 887.62s of the 1442.33s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.7235 = Validation score (root_mean_squared_error)
3.65s = Training runtime
0.09s = Validation runtime
Fitting model: LightGBM_BAG_L3\T18 ... Training model for up to 884.59s of the 1439.3s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.7253 = Validation score (root_mean_squared_error)
3.54s = Training runtime
0.09s = Validation runtime
Fitting model: LightGBM_BAG_L3\T19 ... Training model for up to 881.78s of the 1436.48s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.733 = Validation score (root_mean_squared_error)
4.18s = Training runtime
0.09s = Validation runtime
Fitting model: LightGBM_BAG_L3\T20 ... Training model for up to 878.23s of the 1432.94s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.7266 = Validation score (root_mean_squared_error)
2.93s = Training runtime
0.07s = Validation runtime
Fitting model: LightGBM_BAG_L3\T21 ... Training model for up to 875.4s of the 1430.11s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.7254 = Validation score (root_mean_squared_error)
5.07s = Training runtime
0.12s = Validation runtime
Fitting model: LightGBM_BAG_L3\T22 ... Training model for up to 872.09s of the 1426.8s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.7419 = Validation score (root_mean_squared_error)
4.09s = Training runtime
0.1s = Validation runtime
Fitting model: LightGBM_BAG_L3\T23 ... Training model for up to 869.11s of the 1423.82s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.7416 = Validation score (root_mean_squared_error)
3.31s = Training runtime
0.08s = Validation runtime
Fitting model: LightGBM_BAG_L3\T24 ... Training model for up to 866.16s of the 1420.87s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.8068 = Validation score (root_mean_squared_error)
5.01s = Training runtime
0.12s = Validation runtime
Fitting model: LightGBM_BAG_L3\T25 ... Training model for up to 863.16s of the 1417.87s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.7092 = Validation score (root_mean_squared_error)
3.4s = Training runtime
0.09s = Validation runtime
Fitting model: LightGBM_BAG_L3\T26 ... Training model for up to 860.12s of the 1414.82s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.721 = Validation score (root_mean_squared_error)
3.73s = Training runtime
0.09s = Validation runtime
Fitting model: LightGBM_BAG_L3\T27 ... Training model for up to 856.96s of the 1411.67s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.76 = Validation score (root_mean_squared_error)
3.29s = Training runtime
0.08s = Validation runtime
Fitting model: LightGBM_BAG_L3\T28 ... Training model for up to 853.79s of the 1408.49s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.9111 = Validation score (root_mean_squared_error)
3.55s = Training runtime
0.07s = Validation runtime
Fitting model: LightGBM_BAG_L3\T29 ... Training model for up to 850.96s of the 1405.67s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.6963 = Validation score (root_mean_squared_error)
3.24s = Training runtime
0.08s = Validation runtime
Fitting model: LightGBM_BAG_L3\T30 ... Training model for up to 847.9s of the 1402.61s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.7266 = Validation score (root_mean_squared_error)
2.93s = Training runtime
0.08s = Validation runtime
Fitting model: LightGBM_BAG_L3\T31 ... Training model for up to 845.11s of the 1399.82s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.7629 = Validation score (root_mean_squared_error)
3.15s = Training runtime
0.08s = Validation runtime
Fitting model: LightGBM_BAG_L3\T32 ... Training model for up to 842.08s of the 1396.79s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.7258 = Validation score (root_mean_squared_error)
3.2s = Training runtime
0.08s = Validation runtime
Fitting model: LightGBM_BAG_L3\T33 ... Training model for up to 839.05s of the 1393.75s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.7424 = Validation score (root_mean_squared_error)
3.15s = Training runtime
0.08s = Validation runtime
Fitting model: LightGBM_BAG_L3\T34 ... Training model for up to 836.03s of the 1390.74s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.7248 = Validation score (root_mean_squared_error)
3.35s = Training runtime
0.09s = Validation runtime
Fitting model: LightGBM_BAG_L3\T35 ... Training model for up to 833.24s of the 1387.95s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.7252 = Validation score (root_mean_squared_error)
4.08s = Training runtime
0.11s = Validation runtime
Fitting model: LightGBM_BAG_L3\T36 ... Training model for up to 830.13s of the 1384.83s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.741 = Validation score (root_mean_squared_error)
3.87s = Training runtime
0.12s = Validation runtime
Fitting model: LightGBM_BAG_L3\T37 ... Training model for up to 827.36s of the 1382.07s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.739 = Validation score (root_mean_squared_error)
3.97s = Training runtime
0.1s = Validation runtime
Fitting model: LightGBM_BAG_L3\T38 ... Training model for up to 824.09s of the 1378.8s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.7388 = Validation score (root_mean_squared_error)
3.71s = Training runtime
0.09s = Validation runtime
Fitting model: LightGBM_BAG_L3\T39 ... Training model for up to 820.85s of the 1375.56s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.7275 = Validation score (root_mean_squared_error)
3.38s = Training runtime
0.08s = Validation runtime
Fitting model: LightGBM_BAG_L3\T40 ... Training model for up to 817.69s of the 1372.4s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.7252 = Validation score (root_mean_squared_error)
3.06s = Training runtime
0.08s = Validation runtime
Fitting model: LightGBM_BAG_L3\T41 ... Training model for up to 814.86s of the 1369.57s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.7284 = Validation score (root_mean_squared_error)
3.2s = Training runtime
0.08s = Validation runtime
Fitting model: LightGBM_BAG_L3\T42 ... Training model for up to 811.75s of the 1366.46s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.7083 = Validation score (root_mean_squared_error)
3.67s = Training runtime
0.08s = Validation runtime
Fitting model: LightGBM_BAG_L3\T43 ... Training model for up to 808.48s of the 1363.19s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.7359 = Validation score (root_mean_squared_error)
3.72s = Training runtime
0.09s = Validation runtime
Fitting model: LightGBM_BAG_L3\T44 ... Training model for up to 805.19s of the 1359.89s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.7058 = Validation score (root_mean_squared_error)
3.64s = Training runtime
0.09s = Validation runtime
Fitting model: LightGBM_BAG_L3\T45 ... Training model for up to 802.34s of the 1357.05s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.7387 = Validation score (root_mean_squared_error)
3.49s = Training runtime
0.09s = Validation runtime
Fitting model: LightGBM_BAG_L3\T46 ... Training model for up to 799.38s of the 1354.09s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.9502 = Validation score (root_mean_squared_error)
3.63s = Training runtime
0.07s = Validation runtime
Fitting model: LightGBM_BAG_L3\T47 ... Training model for up to 796.36s of the 1351.06s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.732 = Validation score (root_mean_squared_error)
3.77s = Training runtime
0.09s = Validation runtime
Fitting model: LightGBM_BAG_L3\T48 ... Training model for up to 793.25s of the 1347.96s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.8193 = Validation score (root_mean_squared_error)
5.84s = Training runtime
0.11s = Validation runtime
Fitting model: LightGBM_BAG_L3\T49 ... Training model for up to 790.37s of the 1345.08s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.7334 = Validation score (root_mean_squared_error)
3.27s = Training runtime
0.09s = Validation runtime
Fitting model: LightGBM_BAG_L3\T50 ... Training model for up to 787.39s of the 1342.1s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.7102 = Validation score (root_mean_squared_error)
4.84s = Training runtime
0.13s = Validation runtime
Fitting model: LightGBM_BAG_L3\T51 ... Training model for up to 784.41s of the 1339.12s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.7062 = Validation score (root_mean_squared_error)
3.22s = Training runtime
0.08s = Validation runtime
Fitting model: LightGBM_BAG_L3\T52 ... Training model for up to 781.43s of the 1336.14s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.7274 = Validation score (root_mean_squared_error)
3.12s = Training runtime
0.07s = Validation runtime
Fitting model: LightGBM_BAG_L3\T53 ... Training model for up to 778.47s of the 1333.18s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.741 = Validation score (root_mean_squared_error)
4.31s = Training runtime
0.1s = Validation runtime
Fitting model: LightGBM_BAG_L3\T54 ... Training model for up to 775.26s of the 1329.97s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.7409 = Validation score (root_mean_squared_error)
4.15s = Training runtime
0.1s = Validation runtime
Fitting model: LightGBM_BAG_L3\T55 ... Training model for up to 772.2s of the 1326.91s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.7416 = Validation score (root_mean_squared_error)
3.92s = Training runtime
0.1s = Validation runtime
Fitting model: LightGBM_BAG_L3\T56 ... Training model for up to 769.41s of the 1324.11s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.8421 = Validation score (root_mean_squared_error)
3.43s = Training runtime
0.08s = Validation runtime
Fitting model: LightGBM_BAG_L3\T57 ... Training model for up to 766.42s of the 1321.13s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.7169 = Validation score (root_mean_squared_error)
3.18s = Training runtime
0.08s = Validation runtime
Fitting model: LightGBM_BAG_L3\T58 ... Training model for up to 763.48s of the 1318.19s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.6918 = Validation score (root_mean_squared_error)
3.98s = Training runtime
0.09s = Validation runtime
Fitting model: LightGBM_BAG_L3\T59 ... Training model for up to 759.74s of the 1314.45s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.7691 = Validation score (root_mean_squared_error)
4.18s = Training runtime
0.1s = Validation runtime
Fitting model: LightGBM_BAG_L3\T60 ... Training model for up to 756.83s of the 1311.54s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.6973 = Validation score (root_mean_squared_error)
3.29s = Training runtime
0.08s = Validation runtime
Fitting model: LightGBM_BAG_L3\T61 ... Training model for up to 753.61s of the 1308.32s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.6914 = Validation score (root_mean_squared_error)
2.99s = Training runtime
0.08s = Validation runtime
Fitting model: LightGBM_BAG_L3\T62 ... Training model for up to 750.86s of the 1305.56s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.7312 = Validation score (root_mean_squared_error)
4.33s = Training runtime
0.1s = Validation runtime
Fitting model: LightGBM_BAG_L3\T63 ... Training model for up to 746.91s of the 1301.61s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.7399 = Validation score (root_mean_squared_error)
3.24s = Training runtime
0.08s = Validation runtime
Fitting model: LightGBM_BAG_L3\T64 ... Training model for up to 743.92s of the 1298.63s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.7438 = Validation score (root_mean_squared_error)
4.46s = Training runtime
0.09s = Validation runtime
Fitting model: LightGBM_BAG_L3\T65 ... Training model for up to 739.76s of the 1294.47s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.7326 = Validation score (root_mean_squared_error)
4.55s = Training runtime
0.1s = Validation runtime
Fitting model: LightGBM_BAG_L3\T66 ... Training model for up to 736.44s of the 1291.15s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.7275 = Validation score (root_mean_squared_error)
4.61s = Training runtime
0.11s = Validation runtime
Fitting model: LightGBM_BAG_L3\T67 ... Training model for up to 733.18s of the 1287.89s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.7363 = Validation score (root_mean_squared_error)
3.54s = Training runtime
0.09s = Validation runtime
Fitting model: LightGBM_BAG_L3\T68 ... Training model for up to 729.79s of the 1284.5s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.8678 = Validation score (root_mean_squared_error)
11.66s = Training runtime
0.14s = Validation runtime
Fitting model: LightGBM_BAG_L3\T69 ... Training model for up to 726.77s of the 1281.48s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.7087 = Validation score (root_mean_squared_error)
3.32s = Training runtime
0.08s = Validation runtime
Fitting model: LightGBM_BAG_L3\T70 ... Training model for up to 723.73s of the 1278.44s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.7318 = Validation score (root_mean_squared_error)
3.19s = Training runtime
0.08s = Validation runtime
Fitting model: LightGBM_BAG_L3\T71 ... Training model for up to 720.89s of the 1275.6s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.7109 = Validation score (root_mean_squared_error)
3.65s = Training runtime
0.09s = Validation runtime
Fitting model: LightGBM_BAG_L3\T72 ... Training model for up to 717.91s of the 1272.62s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.7332 = Validation score (root_mean_squared_error)
3.53s = Training runtime
0.1s = Validation runtime
Fitting model: LightGBM_BAG_L3\T73 ... Training model for up to 715.13s of the 1269.83s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.7328 = Validation score (root_mean_squared_error)
4.45s = Training runtime
0.1s = Validation runtime
Fitting model: LightGBM_BAG_L3\T74 ... Training model for up to 712.05s of the 1266.76s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.7267 = Validation score (root_mean_squared_error)
4.03s = Training runtime
0.1s = Validation runtime
Fitting model: LightGBM_BAG_L3\T75 ... Training model for up to 709.04s of the 1263.74s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.7188 = Validation score (root_mean_squared_error)
3.14s = Training runtime
0.08s = Validation runtime
Fitting model: LightGBM_BAG_L3\T76 ... Training model for up to 706.07s of the 1260.77s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.7272 = Validation score (root_mean_squared_error)
3.69s = Training runtime
0.09s = Validation runtime
Fitting model: LightGBM_BAG_L3\T77 ... Training model for up to 703.18s of the 1257.88s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.7507 = Validation score (root_mean_squared_error)
3.98s = Training runtime
0.09s = Validation runtime
Fitting model: LightGBM_BAG_L3\T78 ... Training model for up to 699.82s of the 1254.53s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.8094 = Validation score (root_mean_squared_error)
8.51s = Training runtime
0.12s = Validation runtime
Fitting model: LightGBM_BAG_L3\T79 ... Training model for up to 696.78s of the 1251.49s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.7394 = Validation score (root_mean_squared_error)
4.4s = Training runtime
0.1s = Validation runtime
Fitting model: LightGBM_BAG_L3\T80 ... Training model for up to 693.76s of the 1248.47s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.7242 = Validation score (root_mean_squared_error)
3.26s = Training runtime
0.08s = Validation runtime
Fitting model: LightGBM_BAG_L3\T81 ... Training model for up to 690.67s of the 1245.38s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.7348 = Validation score (root_mean_squared_error)
3.29s = Training runtime
0.08s = Validation runtime
Fitting model: LightGBM_BAG_L3\T82 ... Training model for up to 687.8s of the 1242.51s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.7424 = Validation score (root_mean_squared_error)
3.06s = Training runtime
0.08s = Validation runtime
Fitting model: LightGBM_BAG_L3\T83 ... Training model for up to 685.03s of the 1239.74s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.7214 = Validation score (root_mean_squared_error)
4.07s = Training runtime
0.11s = Validation runtime
Fitting model: LightGBM_BAG_L3\T84 ... Training model for up to 682.07s of the 1236.78s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.7324 = Validation score (root_mean_squared_error)
3.21s = Training runtime
0.08s = Validation runtime
Fitting model: LightGBM_BAG_L3\T85 ... Training model for up to 679.02s of the 1233.73s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.7 = Validation score (root_mean_squared_error)
3.24s = Training runtime
0.08s = Validation runtime
Fitting model: LightGBM_BAG_L3\T86 ... Training model for up to 676.01s of the 1230.72s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.7431 = Validation score (root_mean_squared_error)
3.33s = Training runtime
0.08s = Validation runtime
Fitting model: LightGBM_BAG_L3\T87 ... Training model for up to 673.11s of the 1227.82s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.7059 = Validation score (root_mean_squared_error)
3.18s = Training runtime
0.08s = Validation runtime
Fitting model: LightGBM_BAG_L3\T88 ... Training model for up to 670.28s of the 1224.98s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.7167 = Validation score (root_mean_squared_error)
3.21s = Training runtime
0.08s = Validation runtime
Fitting model: LightGBM_BAG_L3\T89 ... Training model for up to 667.35s of the 1222.05s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.8052 = Validation score (root_mean_squared_error)
5.28s = Training runtime
0.12s = Validation runtime
Fitting model: LightGBM_BAG_L3\T90 ... Training model for up to 664.21s of the 1218.92s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.7295 = Validation score (root_mean_squared_error)
3.17s = Training runtime
0.08s = Validation runtime
Fitting model: LightGBM_BAG_L3\T91 ... Training model for up to 661.34s of the 1216.05s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.7446 = Validation score (root_mean_squared_error)
3.08s = Training runtime
0.08s = Validation runtime
Fitting model: LightGBM_BAG_L3\T92 ... Training model for up to 658.49s of the 1213.2s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-34.9673 = Validation score (root_mean_squared_error)
11.26s = Training runtime
0.13s = Validation runtime
Fitting model: WeightedEnsemble_L4 ... Training model for up to 360.0s of the 1209.94s of remaining time.
-34.6869 = Validation score (root_mean_squared_error)
0.32s = Training runtime
0.0s = Validation runtime
Fitting 1 L4 models ...
Hyperparameter tuning model: LightGBM_BAG_L4 ...
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 14 [LightGBM] [Warning] min_data_in_leaf is set=25, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=25
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 35 [LightGBM] [Warning] min_data_in_leaf is set=29, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=29
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 42 [LightGBM] [Warning] min_data_in_leaf is set=29, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=29
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 14 [LightGBM] [Warning] min_data_in_leaf is set=16, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=16
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 23 [LightGBM] [Warning] min_data_in_leaf is set=25, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=25
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 62 [LightGBM] [Warning] min_data_in_leaf is set=12, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=12
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 67 [LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 84 [LightGBM] [Warning] min_data_in_leaf is set=25, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=25
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 15 [LightGBM] [Warning] min_data_in_leaf is set=6, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=6
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 39 [LightGBM] [Warning] min_data_in_leaf is set=26, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=26
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 100 [LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 12 [LightGBM] [Warning] min_data_in_leaf is set=27, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=27
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 12 [LightGBM] [Warning] min_data_in_leaf is set=16, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=16
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 43 [LightGBM] [Warning] min_data_in_leaf is set=14, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=14
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 12 [LightGBM] [Warning] min_data_in_leaf is set=18, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=18
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 62 [LightGBM] [Warning] min_data_in_leaf is set=12, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=12
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 71 [LightGBM] [Warning] min_data_in_leaf is set=16, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=16
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 60 [LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 91 [LightGBM] [Warning] min_data_in_leaf is set=20, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=20
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 39 [LightGBM] [Warning] min_data_in_leaf is set=9, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=9
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 100 [LightGBM] [Warning] min_data_in_leaf is set=10, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=10
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 88 [LightGBM] [Warning] min_data_in_leaf is set=11, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=11
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 12 [LightGBM] [Warning] min_data_in_leaf is set=21, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=21
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 12 [LightGBM] [Warning] min_data_in_leaf is set=20, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=20
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 21 [LightGBM] [Warning] min_data_in_leaf is set=19, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=19
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 12 [LightGBM] [Warning] min_data_in_leaf is set=10, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=10 [1000] train_set's rmse: 31.7494 valid_set's rmse: 35.0994
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 66 [LightGBM] [Warning] min_data_in_leaf is set=20, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=20
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 100 [LightGBM] [Warning] min_data_in_leaf is set=30, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=30
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 75 [LightGBM] [Warning] min_data_in_leaf is set=11, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=11
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 100 [LightGBM] [Warning] min_data_in_leaf is set=16, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=16
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 100 [LightGBM] [Warning] min_data_in_leaf is set=12, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=12
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 49 [LightGBM] [Warning] min_data_in_leaf is set=14, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=14
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 12 [LightGBM] [Warning] min_data_in_leaf is set=11, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=11
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 81 [LightGBM] [Warning] min_data_in_leaf is set=9, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=9
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 27 [LightGBM] [Warning] min_data_in_leaf is set=20, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=20
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 100 [LightGBM] [Warning] min_data_in_leaf is set=12, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=12
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 41 [LightGBM] [Warning] min_data_in_leaf is set=10, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=10 [1000] train_set's rmse: 31.7659 valid_set's rmse: 35.1128
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 62 [LightGBM] [Warning] min_data_in_leaf is set=11, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=11
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 66 [LightGBM] [Warning] min_data_in_leaf is set=16, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=16
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 38 [LightGBM] [Warning] min_data_in_leaf is set=14, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=14
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 12 [LightGBM] [Warning] min_data_in_leaf is set=20, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=20
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 34 [LightGBM] [Warning] min_data_in_leaf is set=13, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=13
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 96 [LightGBM] [Warning] min_data_in_leaf is set=13, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=13
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 73 [LightGBM] [Warning] min_data_in_leaf is set=14, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=14
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 12 [LightGBM] [Warning] min_data_in_leaf is set=15, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=15
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 83 [LightGBM] [Warning] min_data_in_leaf is set=13, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=13 [1000] train_set's rmse: 31.901 valid_set's rmse: 35.1393
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 56 [LightGBM] [Warning] min_data_in_leaf is set=13, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=13 [1000] train_set's rmse: 31.8848 valid_set's rmse: 35.1153
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 60 [LightGBM] [Warning] min_data_in_leaf is set=17, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=17
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 70 [LightGBM] [Warning] min_data_in_leaf is set=17, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=17
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 81 [LightGBM] [Warning] min_data_in_leaf is set=15, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=15
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 12 [LightGBM] [Warning] min_data_in_leaf is set=29, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=29
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 12 [LightGBM] [Warning] min_data_in_leaf is set=20, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=20
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 100 [LightGBM] [Warning] min_data_in_leaf is set=18, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=18
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 12 [LightGBM] [Warning] min_data_in_leaf is set=15, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=15
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 100 [LightGBM] [Warning] min_data_in_leaf is set=28, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=28
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 76 [LightGBM] [Warning] min_data_in_leaf is set=18, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=18
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 85 [LightGBM] [Warning] min_data_in_leaf is set=18, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=18
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 67 [LightGBM] [Warning] min_data_in_leaf is set=18, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=18
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 89 [LightGBM] [Warning] min_data_in_leaf is set=18, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=18
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 12 [LightGBM] [Warning] min_data_in_leaf is set=12, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=12
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 21 [LightGBM] [Warning] min_data_in_leaf is set=15, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=15
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 30 [LightGBM] [Warning] min_data_in_leaf is set=12, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=12
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 78 [LightGBM] [Warning] min_data_in_leaf is set=15, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=15
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 15 [LightGBM] [Warning] min_data_in_leaf is set=14, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=14
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 77 [LightGBM] [Warning] min_data_in_leaf is set=14, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=14
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 32 [LightGBM] [Warning] min_data_in_leaf is set=25, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=25
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 100 [LightGBM] [Warning] min_data_in_leaf is set=24, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=24
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 12 [LightGBM] [Warning] min_data_in_leaf is set=18, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=18
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 20 [LightGBM] [Warning] min_data_in_leaf is set=14, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=14
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 81 [LightGBM] [Warning] min_data_in_leaf is set=14, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=14
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 79 [LightGBM] [Warning] min_data_in_leaf is set=14, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=14
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 26 [LightGBM] [Warning] min_data_in_leaf is set=14, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=14
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 35 [LightGBM] [Warning] min_data_in_leaf is set=15, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=15
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 38 [LightGBM] [Warning] min_data_in_leaf is set=20, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=20
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 71 [LightGBM] [Warning] min_data_in_leaf is set=9, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=9
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 44 [LightGBM] [Warning] min_data_in_leaf is set=15, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=15
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 54 [LightGBM] [Warning] min_data_in_leaf is set=21, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=21
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 60 [LightGBM] [Warning] min_data_in_leaf is set=13, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=13
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 59 [LightGBM] [Warning] min_data_in_leaf is set=12, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=12
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 12 [LightGBM] [Warning] min_data_in_leaf is set=10, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=10
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 41 [LightGBM] [Warning] min_data_in_leaf is set=9, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=9
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 100 [LightGBM] [Warning] min_data_in_leaf is set=16, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=16
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 33 [LightGBM] [Warning] min_data_in_leaf is set=8, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=8
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 62 [LightGBM] [Warning] min_data_in_leaf is set=7, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=7
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 65 [LightGBM] [Warning] min_data_in_leaf is set=7, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=7 [1000] train_set's rmse: 32.752 valid_set's rmse: 34.7743
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 21 [LightGBM] [Warning] min_data_in_leaf is set=7, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=7 [1000] train_set's rmse: 33.127 valid_set's rmse: 34.815
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 73 [LightGBM] [Warning] min_data_in_leaf is set=6, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=6 [1000] train_set's rmse: 33.065 valid_set's rmse: 34.8017
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 67 [LightGBM] [Warning] min_data_in_leaf is set=12, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=12 [1000] train_set's rmse: 33.1703 valid_set's rmse: 34.857
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 32 [LightGBM] [Warning] min_data_in_leaf is set=3, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=3 [1000] train_set's rmse: 32.2528 valid_set's rmse: 34.9145
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 19 [LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2 [1000] train_set's rmse: 32.2155 valid_set's rmse: 34.869
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 79 [LightGBM] [Warning] min_data_in_leaf is set=3, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=3
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 87 [LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 95 [LightGBM] [Warning] min_data_in_leaf is set=4, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=4 [1000] train_set's rmse: 32.6136 valid_set's rmse: 34.8475
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 93 [LightGBM] [Warning] min_data_in_leaf is set=4, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=4
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 28 [LightGBM] [Warning] min_data_in_leaf is set=4, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=4
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 16 [LightGBM] [Warning] min_data_in_leaf is set=4, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=4
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 39 [LightGBM] [Warning] min_data_in_leaf is set=5, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=5
Time limit exceeded
Fitted model: LightGBM_BAG_L4\T0 ...
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1.3s = Training runtime
0.02s = Validation runtime
Fitted model: LightGBM_BAG_L4\T39 ...
-35.081 = Validation score (root_mean_squared_error)
0.67s = Training runtime
0.02s = Validation runtime
Fitted model: LightGBM_BAG_L4\T40 ...
-35.0648 = Validation score (root_mean_squared_error)
1.55s = Training runtime
0.03s = Validation runtime
Fitted model: LightGBM_BAG_L4\T41 ...
-35.0998 = Validation score (root_mean_squared_error)
0.72s = Training runtime
0.02s = Validation runtime
Fitted model: LightGBM_BAG_L4\T42 ...
-35.0464 = Validation score (root_mean_squared_error)
1.33s = Training runtime
0.03s = Validation runtime
Fitted model: LightGBM_BAG_L4\T43 ...
-35.0783 = Validation score (root_mean_squared_error)
1.46s = Training runtime
0.03s = Validation runtime
Fitted model: LightGBM_BAG_L4\T44 ...
-35.0768 = Validation score (root_mean_squared_error)
1.22s = Training runtime
0.02s = Validation runtime
Fitted model: LightGBM_BAG_L4\T45 ...
-35.0996 = Validation score (root_mean_squared_error)
0.76s = Training runtime
0.02s = Validation runtime
Fitted model: LightGBM_BAG_L4\T46 ...
-35.0717 = Validation score (root_mean_squared_error)
2.35s = Training runtime
0.04s = Validation runtime
Fitted model: LightGBM_BAG_L4\T47 ...
-35.0456 = Validation score (root_mean_squared_error)
3.45s = Training runtime
0.04s = Validation runtime
Fitted model: LightGBM_BAG_L4\T48 ...
-35.0254 = Validation score (root_mean_squared_error)
0.47s = Training runtime
0.01s = Validation runtime
Fitted model: LightGBM_BAG_L4\T49 ...
-35.3471 = Validation score (root_mean_squared_error)
0.43s = Training runtime
0.01s = Validation runtime
Fitted model: LightGBM_BAG_L4\T50 ...
-35.1231 = Validation score (root_mean_squared_error)
0.49s = Training runtime
0.01s = Validation runtime
Fitted model: LightGBM_BAG_L4\T51 ...
-35.0767 = Validation score (root_mean_squared_error)
0.58s = Training runtime
0.01s = Validation runtime
Fitted model: LightGBM_BAG_L4\T52 ...
-35.063 = Validation score (root_mean_squared_error)
0.49s = Training runtime
0.01s = Validation runtime
Fitted model: LightGBM_BAG_L4\T53 ...
-34.9875 = Validation score (root_mean_squared_error)
0.48s = Training runtime
0.02s = Validation runtime
Fitted model: LightGBM_BAG_L4\T54 ...
-35.0844 = Validation score (root_mean_squared_error)
1.24s = Training runtime
0.02s = Validation runtime
Fitted model: LightGBM_BAG_L4\T55 ...
-35.0996 = Validation score (root_mean_squared_error)
0.61s = Training runtime
0.01s = Validation runtime
Fitted model: LightGBM_BAG_L4\T56 ...
-35.0965 = Validation score (root_mean_squared_error)
0.66s = Training runtime
0.01s = Validation runtime
Fitted model: LightGBM_BAG_L4\T57 ...
-35.0593 = Validation score (root_mean_squared_error)
0.68s = Training runtime
0.02s = Validation runtime
Fitted model: LightGBM_BAG_L4\T58 ...
-35.0691 = Validation score (root_mean_squared_error)
0.81s = Training runtime
0.01s = Validation runtime
Fitted model: LightGBM_BAG_L4\T59 ...
-35.119 = Validation score (root_mean_squared_error)
0.75s = Training runtime
0.01s = Validation runtime
Fitted model: LightGBM_BAG_L4\T60 ...
-35.0567 = Validation score (root_mean_squared_error)
2.35s = Training runtime
0.04s = Validation runtime
Fitted model: LightGBM_BAG_L4\T61 ...
-35.0804 = Validation score (root_mean_squared_error)
1.47s = Training runtime
0.03s = Validation runtime
Fitted model: LightGBM_BAG_L4\T62 ...
-35.793 = Validation score (root_mean_squared_error)
4.84s = Training runtime
0.04s = Validation runtime
Fitted model: LightGBM_BAG_L4\T63 ...
-35.0677 = Validation score (root_mean_squared_error)
1.52s = Training runtime
0.03s = Validation runtime
Fitted model: LightGBM_BAG_L4\T64 ...
-35.0789 = Validation score (root_mean_squared_error)
1.52s = Training runtime
0.05s = Validation runtime
Fitted model: LightGBM_BAG_L4\T65 ...
-35.0636 = Validation score (root_mean_squared_error)
1.39s = Training runtime
0.03s = Validation runtime
Fitted model: LightGBM_BAG_L4\T66 ...
-35.0576 = Validation score (root_mean_squared_error)
0.75s = Training runtime
0.01s = Validation runtime
Fitted model: LightGBM_BAG_L4\T67 ...
-35.1176 = Validation score (root_mean_squared_error)
0.65s = Training runtime
0.01s = Validation runtime
Fitted model: LightGBM_BAG_L4\T68 ...
-35.1267 = Validation score (root_mean_squared_error)
0.49s = Training runtime
0.01s = Validation runtime
Fitted model: LightGBM_BAG_L4\T69 ...
-35.087 = Validation score (root_mean_squared_error)
1.57s = Training runtime
0.03s = Validation runtime
Fitted model: LightGBM_BAG_L4\T70 ...
-35.0364 = Validation score (root_mean_squared_error)
1.9s = Training runtime
0.03s = Validation runtime
Fitted model: LightGBM_BAG_L4\T71 ...
-35.0703 = Validation score (root_mean_squared_error)
2.03s = Training runtime
0.03s = Validation runtime
Fitted model: LightGBM_BAG_L4\T72 ...
-35.0503 = Validation score (root_mean_squared_error)
1.55s = Training runtime
0.03s = Validation runtime
Fitted model: LightGBM_BAG_L4\T73 ...
-35.072 = Validation score (root_mean_squared_error)
2.44s = Training runtime
0.03s = Validation runtime
Fitted model: LightGBM_BAG_L4\T74 ...
-35.13 = Validation score (root_mean_squared_error)
0.55s = Training runtime
0.01s = Validation runtime
Fitted model: LightGBM_BAG_L4\T75 ...
-34.926 = Validation score (root_mean_squared_error)
0.36s = Training runtime
0.01s = Validation runtime
Fitted model: LightGBM_BAG_L4\T76 ...
-34.8366 = Validation score (root_mean_squared_error)
0.55s = Training runtime
0.02s = Validation runtime
Fitted model: LightGBM_BAG_L4\T77 ...
-35.0034 = Validation score (root_mean_squared_error)
0.39s = Training runtime
0.01s = Validation runtime
Fitted model: LightGBM_BAG_L4\T78 ...
-34.8836 = Validation score (root_mean_squared_error)
1.14s = Training runtime
0.03s = Validation runtime
Fitted model: LightGBM_BAG_L4\T79 ...
-34.8289 = Validation score (root_mean_squared_error)
0.59s = Training runtime
0.02s = Validation runtime
Fitted model: LightGBM_BAG_L4\T80 ...
-34.8291 = Validation score (root_mean_squared_error)
0.53s = Training runtime
0.02s = Validation runtime
Fitted model: LightGBM_BAG_L4\T81 ...
-34.8643 = Validation score (root_mean_squared_error)
0.6s = Training runtime
0.02s = Validation runtime
Fitted model: LightGBM_BAG_L4\T82 ...
-34.9248 = Validation score (root_mean_squared_error)
0.49s = Training runtime
0.01s = Validation runtime
Fitted model: LightGBM_BAG_L4\T83 ...
-34.8022 = Validation score (root_mean_squared_error)
0.88s = Training runtime
0.02s = Validation runtime
Fitted model: LightGBM_BAG_L4\T84 ...
-34.7835 = Validation score (root_mean_squared_error)
1.22s = Training runtime
0.03s = Validation runtime
Fitted model: LightGBM_BAG_L4\T85 ...
-34.7642 = Validation score (root_mean_squared_error)
1.8s = Training runtime
0.04s = Validation runtime
Fitted model: LightGBM_BAG_L4\T86 ...
-34.7962 = Validation score (root_mean_squared_error)
1.68s = Training runtime
0.03s = Validation runtime
Fitted model: LightGBM_BAG_L4\T87 ...
-34.7851 = Validation score (root_mean_squared_error)
2.2s = Training runtime
0.03s = Validation runtime
Fitted model: LightGBM_BAG_L4\T88 ...
-34.8387 = Validation score (root_mean_squared_error)
1.71s = Training runtime
0.04s = Validation runtime
Fitted model: LightGBM_BAG_L4\T89 ...
-34.7774 = Validation score (root_mean_squared_error)
1.59s = Training runtime
0.04s = Validation runtime
Fitted model: LightGBM_BAG_L4\T90 ...
-34.8027 = Validation score (root_mean_squared_error)
1.75s = Training runtime
0.03s = Validation runtime
Fitted model: LightGBM_BAG_L4\T91 ...
-34.7619 = Validation score (root_mean_squared_error)
1.55s = Training runtime
0.03s = Validation runtime
Fitted model: LightGBM_BAG_L4\T92 ...
-34.8481 = Validation score (root_mean_squared_error)
1.17s = Training runtime
0.03s = Validation runtime
Fitted model: LightGBM_BAG_L4\T93 ...
-34.8061 = Validation score (root_mean_squared_error)
2.02s = Training runtime
0.05s = Validation runtime
Fitted model: LightGBM_BAG_L4\T94 ...
-34.8133 = Validation score (root_mean_squared_error)
1.38s = Training runtime
0.03s = Validation runtime
Fitted model: LightGBM_BAG_L4\T95 ...
-34.8112 = Validation score (root_mean_squared_error)
1.36s = Training runtime
0.03s = Validation runtime
Fitted model: LightGBM_BAG_L4\T96 ...
-34.8243 = Validation score (root_mean_squared_error)
1.36s = Training runtime
0.03s = Validation runtime
Fitted model: LightGBM_BAG_L4\T97 ...
-34.7958 = Validation score (root_mean_squared_error)
1.28s = Training runtime
0.03s = Validation runtime
Fitting model: LightGBM_BAG_L4\T0 ... Training model for up to 1029.6s of the 1029.55s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.6463 = Validation score (root_mean_squared_error)
5.68s = Training runtime
0.09s = Validation runtime
Fitting model: LightGBM_BAG_L4\T1 ... Training model for up to 1024.67s of the 1024.62s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.6683 = Validation score (root_mean_squared_error)
6.43s = Training runtime
0.1s = Validation runtime
Fitting model: LightGBM_BAG_L4\T2 ... Training model for up to 1020.07s of the 1020.01s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.6621 = Validation score (root_mean_squared_error)
7.84s = Training runtime
0.12s = Validation runtime
Fitting model: LightGBM_BAG_L4\T3 ... Training model for up to 1015.11s of the 1015.05s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.6928 = Validation score (root_mean_squared_error)
7.41s = Training runtime
0.1s = Validation runtime
Fitting model: LightGBM_BAG_L4\T4 ... Training model for up to 1009.59s of the 1009.53s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.556 = Validation score (root_mean_squared_error)
6.24s = Training runtime
0.1s = Validation runtime
Fitting model: LightGBM_BAG_L4\T5 ... Training model for up to 1004.58s of the 1004.52s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.68 = Validation score (root_mean_squared_error)
13.51s = Training runtime
0.14s = Validation runtime
Fitting model: LightGBM_BAG_L4\T6 ... Training model for up to 1000.03s of the 999.98s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.5469 = Validation score (root_mean_squared_error)
5.59s = Training runtime
0.1s = Validation runtime
Fitting model: LightGBM_BAG_L4\T7 ... Training model for up to 995.08s of the 995.03s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.6061 = Validation score (root_mean_squared_error)
5.06s = Training runtime
0.1s = Validation runtime
Fitting model: LightGBM_BAG_L4\T8 ... Training model for up to 990.41s of the 990.35s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.6776 = Validation score (root_mean_squared_error)
5.48s = Training runtime
0.09s = Validation runtime
Fitting model: LightGBM_BAG_L4\T9 ... Training model for up to 985.55s of the 985.49s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.5525 = Validation score (root_mean_squared_error)
5.23s = Training runtime
0.1s = Validation runtime
Fitting model: LightGBM_BAG_L4\T10 ... Training model for up to 981.06s of the 981.01s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.5575 = Validation score (root_mean_squared_error)
5.47s = Training runtime
0.1s = Validation runtime
Fitting model: LightGBM_BAG_L4\T11 ... Training model for up to 976.31s of the 976.25s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.5816 = Validation score (root_mean_squared_error)
5.42s = Training runtime
0.1s = Validation runtime
Fitting model: LightGBM_BAG_L4\T12 ... Training model for up to 971.81s of the 971.76s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.5611 = Validation score (root_mean_squared_error)
5.94s = Training runtime
0.11s = Validation runtime
Fitting model: LightGBM_BAG_L4\T13 ... Training model for up to 967.3s of the 967.25s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.5514 = Validation score (root_mean_squared_error)
5.36s = Training runtime
0.09s = Validation runtime
Fitting model: LightGBM_BAG_L4\T14 ... Training model for up to 962.62s of the 962.57s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.5523 = Validation score (root_mean_squared_error)
5.37s = Training runtime
0.09s = Validation runtime
Fitting model: LightGBM_BAG_L4\T15 ... Training model for up to 958.0s of the 957.94s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.5523 = Validation score (root_mean_squared_error)
6.61s = Training runtime
0.1s = Validation runtime
Fitting model: LightGBM_BAG_L4\T16 ... Training model for up to 952.51s of the 952.46s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.5492 = Validation score (root_mean_squared_error)
6.09s = Training runtime
0.1s = Validation runtime
Fitting model: LightGBM_BAG_L4\T17 ... Training model for up to 947.71s of the 947.65s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.6462 = Validation score (root_mean_squared_error)
8.28s = Training runtime
0.11s = Validation runtime
Fitting model: LightGBM_BAG_L4\T18 ... Training model for up to 942.44s of the 942.39s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.5918 = Validation score (root_mean_squared_error)
5.56s = Training runtime
0.1s = Validation runtime
Fitting model: LightGBM_BAG_L4\T19 ... Training model for up to 937.84s of the 937.79s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.555 = Validation score (root_mean_squared_error)
5.11s = Training runtime
0.09s = Validation runtime
Fitting model: LightGBM_BAG_L4\T20 ... Training model for up to 933.15s of the 933.09s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.5563 = Validation score (root_mean_squared_error)
5.72s = Training runtime
0.13s = Validation runtime
Fitting model: LightGBM_BAG_L4\T21 ... Training model for up to 928.27s of the 928.22s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.5452 = Validation score (root_mean_squared_error)
5.44s = Training runtime
0.1s = Validation runtime
Fitting model: LightGBM_BAG_L4\T22 ... Training model for up to 923.82s of the 923.77s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.5651 = Validation score (root_mean_squared_error)
5.4s = Training runtime
0.1s = Validation runtime
Fitting model: LightGBM_BAG_L4\T23 ... Training model for up to 919.38s of the 919.32s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.5453 = Validation score (root_mean_squared_error)
5.08s = Training runtime
0.09s = Validation runtime
Fitting model: LightGBM_BAG_L4\T24 ... Training model for up to 914.69s of the 914.63s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.5574 = Validation score (root_mean_squared_error)
4.96s = Training runtime
0.09s = Validation runtime
Fitting model: LightGBM_BAG_L4\T25 ... Training model for up to 910.09s of the 910.04s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.5448 = Validation score (root_mean_squared_error)
4.96s = Training runtime
0.09s = Validation runtime
Fitting model: LightGBM_BAG_L4\T26 ... Training model for up to 905.72s of the 905.67s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.5468 = Validation score (root_mean_squared_error)
6.7s = Training runtime
0.12s = Validation runtime
Fitting model: LightGBM_BAG_L4\T27 ... Training model for up to 901.23s of the 901.17s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.5586 = Validation score (root_mean_squared_error)
5.82s = Training runtime
0.09s = Validation runtime
Fitting model: LightGBM_BAG_L4\T28 ... Training model for up to 895.95s of the 895.89s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.7382 = Validation score (root_mean_squared_error)
6.18s = Training runtime
0.09s = Validation runtime
Fitting model: LightGBM_BAG_L4\T29 ... Training model for up to 891.35s of the 891.3s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.5493 = Validation score (root_mean_squared_error)
6.52s = Training runtime
0.11s = Validation runtime
Fitting model: LightGBM_BAG_L4\T30 ... Training model for up to 886.79s of the 886.74s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.5499 = Validation score (root_mean_squared_error)
6.47s = Training runtime
0.12s = Validation runtime
Fitting model: LightGBM_BAG_L4\T31 ... Training model for up to 881.88s of the 881.82s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.5453 = Validation score (root_mean_squared_error)
4.81s = Training runtime
0.09s = Validation runtime
Fitting model: LightGBM_BAG_L4\T32 ... Training model for up to 877.38s of the 877.32s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.5523 = Validation score (root_mean_squared_error)
5.46s = Training runtime
0.1s = Validation runtime
Fitting model: LightGBM_BAG_L4\T33 ... Training model for up to 872.91s of the 872.86s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.5496 = Validation score (root_mean_squared_error)
5.49s = Training runtime
0.09s = Validation runtime
Fitting model: LightGBM_BAG_L4\T34 ... Training model for up to 868.03s of the 867.98s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.6864 = Validation score (root_mean_squared_error)
5.25s = Training runtime
0.1s = Validation runtime
Fitting model: LightGBM_BAG_L4\T35 ... Training model for up to 863.35s of the 863.29s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.5572 = Validation score (root_mean_squared_error)
6.64s = Training runtime
0.12s = Validation runtime
Fitting model: LightGBM_BAG_L4\T36 ... Training model for up to 858.93s of the 858.88s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.5574 = Validation score (root_mean_squared_error)
5.14s = Training runtime
0.09s = Validation runtime
Fitting model: LightGBM_BAG_L4\T37 ... Training model for up to 854.41s of the 854.35s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.5502 = Validation score (root_mean_squared_error)
7.38s = Training runtime
0.12s = Validation runtime
Fitting model: LightGBM_BAG_L4\T38 ... Training model for up to 849.42s of the 849.36s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.5464 = Validation score (root_mean_squared_error)
5.63s = Training runtime
0.1s = Validation runtime
Fitting model: LightGBM_BAG_L4\T39 ... Training model for up to 844.93s of the 844.87s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.5539 = Validation score (root_mean_squared_error)
4.98s = Training runtime
0.1s = Validation runtime
Fitting model: LightGBM_BAG_L4\T40 ... Training model for up to 840.46s of the 840.41s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.5507 = Validation score (root_mean_squared_error)
6.35s = Training runtime
0.1s = Validation runtime
Fitting model: LightGBM_BAG_L4\T41 ... Training model for up to 835.5s of the 835.45s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.5576 = Validation score (root_mean_squared_error)
5.13s = Training runtime
0.09s = Validation runtime
Fitting model: LightGBM_BAG_L4\T42 ... Training model for up to 830.94s of the 830.89s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.5471 = Validation score (root_mean_squared_error)
5.7s = Training runtime
0.11s = Validation runtime
Fitting model: LightGBM_BAG_L4\T43 ... Training model for up to 826.4s of the 826.35s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.5534 = Validation score (root_mean_squared_error)
5.78s = Training runtime
0.11s = Validation runtime
Fitting model: LightGBM_BAG_L4\T44 ... Training model for up to 821.91s of the 821.86s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.5531 = Validation score (root_mean_squared_error)
6.19s = Training runtime
0.11s = Validation runtime
Fitting model: LightGBM_BAG_L4\T45 ... Training model for up to 816.78s of the 816.73s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.5576 = Validation score (root_mean_squared_error)
5.2s = Training runtime
0.09s = Validation runtime
Fitting model: LightGBM_BAG_L4\T46 ... Training model for up to 812.19s of the 812.14s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.5521 = Validation score (root_mean_squared_error)
6.75s = Training runtime
0.12s = Validation runtime
Fitting model: LightGBM_BAG_L4\T47 ... Training model for up to 807.63s of the 807.58s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.547 = Validation score (root_mean_squared_error)
8.09s = Training runtime
0.11s = Validation runtime
Fitting model: LightGBM_BAG_L4\T48 ... Training model for up to 802.83s of the 802.78s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.543 = Validation score (root_mean_squared_error)
5.07s = Training runtime
0.09s = Validation runtime
Fitting model: LightGBM_BAG_L4\T49 ... Training model for up to 798.08s of the 798.03s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.6066 = Validation score (root_mean_squared_error)
4.66s = Training runtime
0.09s = Validation runtime
Fitting model: LightGBM_BAG_L4\T50 ... Training model for up to 793.68s of the 793.63s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.5623 = Validation score (root_mean_squared_error)
4.76s = Training runtime
0.09s = Validation runtime
Fitting model: LightGBM_BAG_L4\T51 ... Training model for up to 789.25s of the 789.2s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.5531 = Validation score (root_mean_squared_error)
5.25s = Training runtime
0.09s = Validation runtime
Fitting model: LightGBM_BAG_L4\T52 ... Training model for up to 784.43s of the 784.38s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.5504 = Validation score (root_mean_squared_error)
4.72s = Training runtime
0.09s = Validation runtime
Fitting model: LightGBM_BAG_L4\T53 ... Training model for up to 780.06s of the 780.0s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.5355 = Validation score (root_mean_squared_error)
5.17s = Training runtime
0.1s = Validation runtime
Fitting model: LightGBM_BAG_L4\T54 ... Training model for up to 775.2s of the 775.13s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.5546 = Validation score (root_mean_squared_error)
5.87s = Training runtime
0.1s = Validation runtime
Fitting model: LightGBM_BAG_L4\T55 ... Training model for up to 770.4s of the 770.34s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.5576 = Validation score (root_mean_squared_error)
4.92s = Training runtime
0.09s = Validation runtime
Fitting model: LightGBM_BAG_L4\T56 ... Training model for up to 765.93s of the 765.88s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.557 = Validation score (root_mean_squared_error)
5.14s = Training runtime
0.09s = Validation runtime
Fitting model: LightGBM_BAG_L4\T57 ... Training model for up to 761.29s of the 761.24s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.5497 = Validation score (root_mean_squared_error)
5.3s = Training runtime
0.09s = Validation runtime
Fitting model: LightGBM_BAG_L4\T58 ... Training model for up to 756.51s of the 756.46s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.5516 = Validation score (root_mean_squared_error)
5.25s = Training runtime
0.09s = Validation runtime
Fitting model: LightGBM_BAG_L4\T59 ... Training model for up to 751.91s of the 751.85s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.5614 = Validation score (root_mean_squared_error)
4.98s = Training runtime
0.08s = Validation runtime
Fitting model: LightGBM_BAG_L4\T60 ... Training model for up to 747.53s of the 747.47s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.5491 = Validation score (root_mean_squared_error)
6.65s = Training runtime
0.11s = Validation runtime
Fitting model: LightGBM_BAG_L4\T61 ... Training model for up to 743.08s of the 743.03s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.5538 = Validation score (root_mean_squared_error)
5.95s = Training runtime
0.11s = Validation runtime
Fitting model: LightGBM_BAG_L4\T62 ... Training model for up to 738.44s of the 738.38s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.6956 = Validation score (root_mean_squared_error)
9.2s = Training runtime
0.11s = Validation runtime
Fitting model: LightGBM_BAG_L4\T63 ... Training model for up to 733.92s of the 733.87s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.5513 = Validation score (root_mean_squared_error)
5.79s = Training runtime
0.1s = Validation runtime
Fitting model: LightGBM_BAG_L4\T64 ... Training model for up to 729.5s of the 729.44s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.5535 = Validation score (root_mean_squared_error)
5.93s = Training runtime
0.13s = Validation runtime
Fitting model: LightGBM_BAG_L4\T65 ... Training model for up to 724.93s of the 724.87s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.5505 = Validation score (root_mean_squared_error)
5.99s = Training runtime
0.11s = Validation runtime
Fitting model: LightGBM_BAG_L4\T66 ... Training model for up to 720.16s of the 720.11s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.5493 = Validation score (root_mean_squared_error)
5.74s = Training runtime
0.1s = Validation runtime
Fitting model: LightGBM_BAG_L4\T67 ... Training model for up to 714.99s of the 714.93s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.5612 = Validation score (root_mean_squared_error)
5.33s = Training runtime
0.09s = Validation runtime
Fitting model: LightGBM_BAG_L4\T68 ... Training model for up to 710.13s of the 710.08s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.563 = Validation score (root_mean_squared_error)
5.03s = Training runtime
0.09s = Validation runtime
Fitting model: LightGBM_BAG_L4\T69 ... Training model for up to 705.42s of the 705.37s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.5551 = Validation score (root_mean_squared_error)
5.92s = Training runtime
0.1s = Validation runtime
Fitting model: LightGBM_BAG_L4\T70 ... Training model for up to 700.91s of the 700.86s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.5451 = Validation score (root_mean_squared_error)
6.7s = Training runtime
0.11s = Validation runtime
Fitting model: LightGBM_BAG_L4\T71 ... Training model for up to 695.95s of the 695.89s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.5518 = Validation score (root_mean_squared_error)
6.73s = Training runtime
0.11s = Validation runtime
Fitting model: LightGBM_BAG_L4\T72 ... Training model for up to 691.08s of the 691.03s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.5479 = Validation score (root_mean_squared_error)
6.26s = Training runtime
0.11s = Validation runtime
Fitting model: LightGBM_BAG_L4\T73 ... Training model for up to 686.21s of the 686.16s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.5522 = Validation score (root_mean_squared_error)
6.75s = Training runtime
0.12s = Validation runtime
Fitting model: LightGBM_BAG_L4\T74 ... Training model for up to 681.74s of the 681.69s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.5636 = Validation score (root_mean_squared_error)
4.91s = Training runtime
0.1s = Validation runtime
Fitting model: LightGBM_BAG_L4\T75 ... Training model for up to 677.22s of the 677.17s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.5234 = Validation score (root_mean_squared_error)
5.1s = Training runtime
0.1s = Validation runtime
Fitting model: LightGBM_BAG_L4\T76 ... Training model for up to 672.31s of the 672.26s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.5058 = Validation score (root_mean_squared_error)
4.87s = Training runtime
0.09s = Validation runtime
Fitting model: LightGBM_BAG_L4\T77 ... Training model for up to 667.84s of the 667.79s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.5386 = Validation score (root_mean_squared_error)
4.6s = Training runtime
0.09s = Validation runtime
Fitting model: LightGBM_BAG_L4\T78 ... Training model for up to 663.47s of the 663.42s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.5151 = Validation score (root_mean_squared_error)
5.7s = Training runtime
0.1s = Validation runtime
Fitting model: LightGBM_BAG_L4\T79 ... Training model for up to 658.75s of the 658.7s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.5043 = Validation score (root_mean_squared_error)
5.44s = Training runtime
0.09s = Validation runtime
Fitting model: LightGBM_BAG_L4\T80 ... Training model for up to 653.73s of the 653.68s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.5043 = Validation score (root_mean_squared_error)
4.75s = Training runtime
0.09s = Validation runtime
Fitting model: LightGBM_BAG_L4\T81 ... Training model for up to 649.35s of the 649.3s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.5113 = Validation score (root_mean_squared_error)
5.09s = Training runtime
0.1s = Validation runtime
Fitting model: LightGBM_BAG_L4\T82 ... Training model for up to 644.7s of the 644.65s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.5232 = Validation score (root_mean_squared_error)
5.05s = Training runtime
0.09s = Validation runtime
Fitting model: LightGBM_BAG_L4\T83 ... Training model for up to 639.99s of the 639.94s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.4991 = Validation score (root_mean_squared_error)
5.22s = Training runtime
0.11s = Validation runtime
Fitting model: LightGBM_BAG_L4\T84 ... Training model for up to 635.48s of the 635.43s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.4954 = Validation score (root_mean_squared_error)
5.61s = Training runtime
0.11s = Validation runtime
Fitting model: LightGBM_BAG_L4\T85 ... Training model for up to 630.93s of the 630.88s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.4916 = Validation score (root_mean_squared_error)
7.96s = Training runtime
0.13s = Validation runtime
Fitting model: LightGBM_BAG_L4\T86 ... Training model for up to 624.61s of the 624.55s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.4979 = Validation score (root_mean_squared_error)
6.76s = Training runtime
0.11s = Validation runtime
Fitting model: LightGBM_BAG_L4\T87 ... Training model for up to 619.37s of the 619.31s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.4957 = Validation score (root_mean_squared_error)
6.65s = Training runtime
0.11s = Validation runtime
Fitting model: LightGBM_BAG_L4\T88 ... Training model for up to 614.76s of the 614.71s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.5062 = Validation score (root_mean_squared_error)
6.75s = Training runtime
0.11s = Validation runtime
Fitting model: LightGBM_BAG_L4\T89 ... Training model for up to 609.55s of the 609.5s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.4942 = Validation score (root_mean_squared_error)
6.22s = Training runtime
0.11s = Validation runtime
Fitting model: LightGBM_BAG_L4\T90 ... Training model for up to 604.75s of the 604.7s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.4992 = Validation score (root_mean_squared_error)
6.34s = Training runtime
0.11s = Validation runtime
Fitting model: LightGBM_BAG_L4\T91 ... Training model for up to 600.02s of the 599.96s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.4912 = Validation score (root_mean_squared_error)
6.49s = Training runtime
0.12s = Validation runtime
Fitting model: LightGBM_BAG_L4\T92 ... Training model for up to 594.91s of the 594.85s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.5081 = Validation score (root_mean_squared_error)
5.94s = Training runtime
0.1s = Validation runtime
Fitting model: LightGBM_BAG_L4\T93 ... Training model for up to 589.98s of the 589.92s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.4999 = Validation score (root_mean_squared_error)
6.65s = Training runtime
0.12s = Validation runtime
Fitting model: LightGBM_BAG_L4\T94 ... Training model for up to 585.2s of the 585.14s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.5013 = Validation score (root_mean_squared_error)
6.16s = Training runtime
0.11s = Validation runtime
Fitting model: LightGBM_BAG_L4\T95 ... Training model for up to 580.26s of the 580.2s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.5008 = Validation score (root_mean_squared_error)
6.31s = Training runtime
0.11s = Validation runtime
Fitting model: LightGBM_BAG_L4\T96 ... Training model for up to 575.14s of the 575.08s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.5034 = Validation score (root_mean_squared_error)
5.95s = Training runtime
0.11s = Validation runtime
Fitting model: LightGBM_BAG_L4\T97 ... Training model for up to 570.38s of the 570.33s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
_log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
-35.4978 = Validation score (root_mean_squared_error)
5.95s = Training runtime
0.11s = Validation runtime
Fitting model: WeightedEnsemble_L5 ... Training model for up to 360.0s of the 565.01s of remaining time.
-35.4876 = Validation score (root_mean_squared_error)
0.34s = Training runtime
0.0s = Validation runtime
AutoGluon training complete, total runtime = 1535.39s ...
TabularPredictor saved. To load, use: predictor = TabularPredictor.load("AutogluonModels/ag-20211211_111356\")
predictor.leaderboard(df_features, silent=True)
| model | score_test | score_val | pred_time_test | pred_time_val | fit_time | pred_time_test_marginal | pred_time_val_marginal | fit_time_marginal | stack_level | can_infer | fit_order | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | LightGBM_BAG_L1\T4 | -17.815342 | -34.169053 | 1.708016 | 0.275843 | 7.039939 | 1.708016 | 0.275843 | 7.039939 | 1 | True | 5 |
| 1 | LightGBM_BAG_L1\T1 | -17.977535 | -34.134480 | 1.160332 | 0.247857 | 5.996946 | 1.160332 | 0.247857 | 5.996946 | 1 | True | 2 |
| 2 | LightGBM_BAG_L2\T31 | -18.435657 | -34.080935 | 102.471532 | 15.025370 | 182.271012 | 0.799539 | 0.199886 | 11.675263 | 2 | True | 51 |
| 3 | LightGBM_BAG_L2\T7 | -18.547666 | -34.119909 | 101.918851 | 14.898440 | 173.909827 | 0.246858 | 0.072956 | 3.314078 | 2 | True | 27 |
| 4 | LightGBM_BAG_L2\T4 | -18.647891 | -34.129373 | 101.999804 | 14.906437 | 174.027758 | 0.327811 | 0.080954 | 3.432009 | 2 | True | 24 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 246 | LightGBM_BAG_L4\T24 | -19.495032 | -35.557360 | 151.717381 | 27.881863 | 769.063504 | 0.287834 | 0.093946 | 4.956145 | 4 | True | 177 |
| 247 | LightGBM_BAG_L4\T51 | -19.502258 | -35.553092 | 151.716381 | 27.881861 | 769.354323 | 0.286835 | 0.093944 | 5.246965 | 4 | True | 204 |
| 248 | LightGBM_BAG_L4\T34 | -19.503884 | -35.686382 | 151.769351 | 27.883861 | 769.362318 | 0.339805 | 0.095944 | 5.254960 | 4 | True | 187 |
| 249 | LightGBM_BAG_L1\T5 | -19.701515 | -33.618542 | 7.228837 | 1.044400 | 9.986228 | 7.228837 | 1.044400 | 9.986228 | 1 | True | 6 |
| 250 | LightGBM_BAG_L1\T12 | -19.715778 | -33.701111 | 3.340077 | 0.566677 | 8.713440 | 3.340077 | 0.566677 | 8.713440 | 1 | True | 13 |
251 rows × 12 columns
# Remember to set all negative values to zero
predictor_hp_v4 = predictor.predict(df_test)
predictor_hp_v4[predictor_hp_v4<0] = 0
# Same submitting predictions
submission_hypo = pd.read_csv('sampleSubmission.csv')
submission_hypo["count"] = predictor_hp_v4
submission_hypo.to_csv("submission_submission_hp_v4.csv", index=False)
!kaggle competitions submit -c bike-sharing-demand -f submission_submission_hp_v4.csv -m "new hyperparameters V4 "
!kaggle competitions submissions -c bike-sharing-demand
Successfully submitted to Bike Sharing Demand
c:\users\hp\anaconda3\envs\aws deep learning\lib\site-packages\cryptography\hazmat\backends\openssl\x509.py:17: CryptographyDeprecationWarning: This version of cryptography contains a temporary pyOpenSSL fallback path. Upgrade pyOpenSSL now. utils.DeprecatedIn35, 0%| | 0.00/194k [00:00<?, ?B/s] 4%|4 | 8.00k/194k [00:00<00:03, 53.7kB/s] 49%|####9 | 96.0k/194k [00:00<00:00, 450kB/s] 100%|##########| 194k/194k [00:00<00:00, 664kB/s] 100%|##########| 194k/194k [00:02<00:00, 85.4kB/s]
fileName date description status publicScore privateScore --------------------------------------- ------------------- -------------------------------------------- -------- ----------- ------------ submission_submission_hp_v4.csv 2021-12-11 15:59:00 new hyperparameters V4 complete 0.44957 0.44957 submission_time_search_5min.csv 2021-12-11 10:12:57 5 min train submit complete 0.44793 0.44793 submission_submission_hp_v4.csv 2021-12-11 09:09:50 new hyperparameters V4 complete 0.48757 0.48757 submission_submission_hp_v4.csv 2021-12-11 08:52:06 new hyperparameters V4 complete 0.48080 0.48080 submission.csv 2021-12-11 08:34:12 first raw submission complete 1.40041 1.40041 submission_submission_hp_v4.csv 2021-12-10 18:11:50 new hyperparameters V4 complete 0.45257 0.45257 submission_submission_hp_v4.csv 2021-12-10 16:42:13 new hyperparameters V4 complete 0.46035 0.46035 submission_submission_RMSLE.csv 2021-12-10 14:44:00 Custome Eval Metric complete 0.45892 0.45892 submission_submission_hypov2.csv 2021-12-10 14:23:31 new features with hyperparameters V2 complete 0.45490 0.45490 submission_submission_hypov2.csv 2021-12-10 13:57:06 new features with hyperparameters V2 complete 0.57647 0.57647 submission_submission_hypo.csv 2021-12-10 10:07:22 new features with hyperparameters complete 0.45563 0.45563 submission_time_search_5min.csv 2021-12-10 09:23:07 5 min train submit complete 0.44797 0.44797 submission_import_features.csv 2021-12-08 13:55:39 Feature Importance complete 0.45194 0.45194 submission_import_features.csv 2021-12-08 13:53:11 Feature Importance complete 0.45414 0.45414 submission_import_features.csv 2021-12-08 13:51:11 Feature Importance complete 0.45749 0.45749 submission_import_features.csv 2021-12-08 13:48:53 Feature Importance complete 0.45210 0.45210 submission_import_features.csv 2021-12-08 13:44:55 Feature Importance complete 0.48275 0.48275 submission_import_features.csv 2021-12-08 13:42:28 Feature Importance complete 0.45753 0.45753 submission_import_features.csv 2021-12-08 13:39:01 Feature Importance complete 0.45939 0.45939 submission_new_featuresV3.csv 2021-12-08 12:44:41 new features_AdvancedV3 complete 0.45274 0.45274 submission_new_features_Advanced_V1.csv 2021-12-08 12:20:43 new features Advanced V1 complete 0.45810 0.45810 submission_new_features_Advanced_V1.csv 2021-12-08 12:20:12 new features complete 0.45810 0.45810 submission_new_features_log.csv 2021-12-08 12:07:08 NF - Model 2 (Basic Log Transform ) complete 0.50789 0.50789 submission_new_features_log.csv 2021-12-08 12:06:06 NF - Model 2 (Basic Log Transform ) complete 0.50674 0.50674 submission_new_features_log.csv 2021-12-08 11:34:53 NF - Model 2 (Basic Log Transform ) complete 0.50674 0.50674 submission_new_features.csv 2021-12-08 11:24:55 NF - Model 1 (Basic Time Catogricla data ) complete 0.50674 0.50674 submission.csv 2021-12-08 11:13:27 first raw submission complete 1.38952 1.38952 submission_new_hpo.csv 2021-12-08 11:06:33 new features with hyperparameters Tune complete 0.48748 0.48748 submission_new_hpo.csv 2021-12-08 09:14:10 new features with hyperparameters Tune complete 0.51858 0.51858 submission_new_hpo_ensV4.csv 2021-12-07 15:02:09 new features with hyperparameters Vקרדןםמ 4 complete 0.48961 0.48961 submission_new_hpo.csv 2021-12-07 14:29:38 new features with hyperparameters Tune complete 0.48338 0.48338 submission_new_featuresV3.csv 2021-12-07 14:00:06 new featuresV3 complete 0.45074 0.45074 submission_new_featuresV2.csv 2021-12-07 13:39:45 new features complete 0.50306 0.50306 submission_new_features.csv 2021-12-07 13:09:48 new features complete 0.51097 0.51097 submission.csv 2021-12-07 13:04:23 first raw submission complete 1.39309 1.39309 submission_new_hpo.csv 2021-12-07 11:12:13 new features with hyperparameters Tune complete 0.45509 0.45509 submission_new_featuresV3.csv 2021-12-07 10:53:43 new featuresV3 complete 0.45057 0.45057 submission_new_featuresV2.csv 2021-12-07 10:43:05 new features complete 0.47595 0.47595 submission_new_featuresV2.csv 2021-12-07 10:42:32 new features error None None submission_new_features.csv 2021-12-07 10:32:26 new features complete 0.50670 0.50670 submission.csv 2021-12-07 10:24:27 first raw submission complete 1.38989 1.38989 submission_new_hpo.csv 2021-12-07 09:08:34 new features with hyperparameters complete 0.46172 0.46172 submission_new_hpo.csv 2021-12-07 08:59:07 new features with hyperparameters complete 0.45760 0.45760 submission_new_features.csv 2021-12-06 20:57:01 new features complete 0.44755 0.44755 submission_new_features.csv 2021-12-06 20:50:18 new features complete 0.44577 0.44577 submission_new_features.csv 2021-12-06 20:45:43 new features complete 0.44592 0.44592 submission_RMSLE.csv 2021-12-06 17:57:57 Custome Eval Metric complete 0.46093 0.46093 submission_RMSLE.csv 2021-12-06 17:46:31 Custome Eval Metric complete 0.46093 0.46093 submission_RMSLE.csv 2021-12-06 17:25:04 Custome Eval Metric complete 0.46093 0.46093 submission_RMSLE.csv 2021-12-06 17:13:44 Custome Eval Metric complete 0.46093 0.46093
c:\users\hp\anaconda3\envs\aws deep learning\lib\site-packages\cryptography\hazmat\backends\openssl\x509.py:17: CryptographyDeprecationWarning: This version of cryptography contains a temporary pyOpenSSL fallback path. Upgrade pyOpenSSL now. utils.DeprecatedIn35,
# Taking the top model score from each training run and creating a line plot to show improvement
# You can create these in the notebook and save them to PNG or use some other tool (e.g. google sheets, excel)
fig = pd.DataFrame(
{
"model": ["initial", "add_features", "hpo"],
"score": [118.456660, 47.885773, 47.877308]
}
).plot(x="model", y="score", figsize=(8, 6)).get_figure()
fig.savefig('model_train_score.png')
# Take the 3 kaggle scores and creating a line plot to show improvement
fig = pd.DataFrame(
{
"test_eval": ["initial", "add_features", "hpo"],
"score": [1.3, 0.451, 0.44793]
}
).plot(x="test_eval", y="score", figsize=(8, 6)).get_figure()
fig.savefig('model_test_score.png')
# The 3 hyperparameters we tuned with the kaggle score as the result
pd.DataFrame({
"model": ["initial", "add_features", "hpo"],
"hpo1": [?, ?, ?],
"hpo2": [?, ?, ?],
"hpo3": [?, ?, ?],
"score": [?, ?, ?]
})